Ryszard S. Michalski

Ryszard S. Michalski's AcademicInfluence.com Rankings

Computer Science

#676

World Rank

#697

Historical Rank

#365

USA Rank

Data Mining

#21

World Rank

#21

Historical Rank

USA Rank

Machine Learning

#38

World Rank

#38

Historical Rank

#16

USA Rank

Artificial Intelligence

#98

World Rank

#101

Historical Rank

#46

USA Rank

computer-science Degrees

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Computer Science

Ryszard S. Michalski's Degrees

PhD Computer Science Stanford University
Masters Electrical Engineering Stanford University
Bachelors Electrical Engineering Warsaw University of Technology

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Why Is Ryszard S. Michalski Influential?

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According to Wikipedia, Ryszard S. Michalski was a Polish-American computer scientist. Michalski was Professor at George Mason University and a pioneer in the field of machine learning. Biography Michalski was born in Kalusz near Lvov on 7 May 1937.

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Ryszard S. Michalski's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Machine learning - an artificial intelligence approach (1982) (2872)
A Theory and Methodology of Inductive Learning (1983) (2223)
The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains (1986) (974)
Learning from Observation: Conceptual Clustering (1983) (766)
Pattern Recognition as Rule-Guided Inductive Inference (1980) (460)
The Logic of Plausible Reasoning: A Core Theory (1989) (412)
Machine Learning and Data Mining; Methods and Applications (1998) (397)
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy (1983) (388)
A Comparative Review of Selected Methods for Learning from Examples (1983) (338)
Machine learning: an artificial intelligence approach volume III (1990) (308)
On the Quasi-Minimal Solution of the General Covering Problem (1969) (291)
An Overview of Machine Learning (1983) (275)
LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning (2004) (250)
Conceptual Clustering: Inventing Goal-Oriented Classifications of Structured Objects (1986) (233)
Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods (1981) (216)
The AQ15 Inductive Learning System: An Overview and Experiments (1986) (209)
Categories and Concepts: Theoretical Views and Inductive Data Analysis (1993) (201)
Selection of Most Representative Training Examples and Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Programs ESEL and AQ11 (1978) (200)
Selecting Examples for Partial Memory Learning (2000) (158)
Understanding the Nature of Learning: Issues and Research Directions (1985) (156)
Incremental learning with partial instance memory (2002) (156)
A Recent Advance in Data Analysis: Clustering Objects into Classes Characterized by Conjunctive Concepts (1981) (153)
Inferential Theory of Learning: Developing Foundations for Multistrategy Learning (1992) (138)
Variable Precision Logic (1986) (136)
Conceptual Clustering of Structured Objects: A Goal-Oriented Approach (1986) (127)
Inductive inference of VL decision rules (1977) (127)
Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study (1980) (124)
Machine learning: a guide to current research (1986) (123)
Discovering Patterns in Sequences of Events (1985) (119)
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments (1994) (119)
Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance (1987) (110)
Data-Driven Constructive Induction (1998) (104)
AQVAL/1--Computer Implementation of a Variable-Valued Logic System VL1 and Examples of its Application to Pattern Recognition (1973) (103)
Learning to Predict Sequences (1985) (94)
Mining for Knowledge in Databases: Goals and General Description of the INLEN System (1989) (89)
Incremental learning of concept descriptions: A method and experimental results (1988) (86)
Research in machine learning: recent progress, classification of methods, and future directions (1990) (83)
Learning flexible concepts: fundamental ideas and a method based on two-tiered representation (1990) (82)
Discovering Classification Rules Using variable-Valued Logic System VL1 (1973) (78)
Attributional Calculus: A Logic and Representation Language for Natural Induction (2004) (77)
Data Mining and Knowledge Discovery: A Review of Issues and a Multistrategy Approach (1997) (75)
Variable-Valued Logic and Its Applications to Pattern Recognition and Machine Learning (1975) (72)
Machine Learning: A Historical and Methodological Analysis (1983) (68)
Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Program AQ11 (1983) (67)
The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features (2006) (64)
Learning and Cognition (1995) (64)
An Optimized Design of Finned-Tube Evaporators Using the Learnable Evolution Model (2004) (63)
Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System (1992) (62)
Learning from Inconsistent and Noisy Data: The AQ18 Approach (1999) (60)
AQ15: Incremental Learning of Attribute-Based Descriptions from Examples: The Method and User's Guide (1986) (60)
Integrating quantitative and qualitative discovery: The ABACUS system (2004) (58)
Pattern Recognition as Knowledge-Guided Computer Induction (1978) (57)
A Computer-Based Advisory System for Diagnosing Soybean Diseases in Illinois (1983) (56)
How to Learn Imprecise Concepts: A Method for Employing a Two-Tiered Knowledge Representation in Learning (1987) (56)
Toward a unified theory of learning: multistrategy task-adaptive learning (1993) (54)
Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology (1999) (49)
A Variable-Valued Logic System as Applied to Picture Description and Recognition (1972) (49)
Multistrategy Constructive Induction: AQ17-MCI (1993) (49)
Data-driven constructive induction in AQ17-PRE: A method and experiments (1991) (49)
Two-tiered concept meaning, inferential matching, and conceptual cohesiveness (1989) (48)
Synthesis of Optimal and Quasi-Optimal Variable-Valued Logic Formulas (1975) (45)
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems (2006) (45)
Learning Patterns in Noisy Data: The AQ Approach (2001) (44)
From Data Mining to Knowledge Mining (2005) (44)
Inductive Learning System AQ15c: The Method and User's Guide (1995) (43)
CONSTRUCTIVE INDUCTION: THE KEY TO DESIGN CREATIVITY (1995) (43)
PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases (1982) (42)
The AQ19 System for Machine Learning and Pattern Discovery: A General Description and User's Guide (2001) (42)
Integrating Quantitative and Qualitative Discovery: The ABACUS System (1990) (42)
INDUCE.3: A Program for Learning Structural Descriptions from Examples (1983) (42)
Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods (1979) (38)
Rule Optimization Via SG-TRUNC Method (1989) (36)
Inferential theory of learning as a conceptual basis for multistrategy learning (1993) (36)
Learnable Evolution: Combining Symbolic and Evolutionary Learning (1998) (36)
A Planar Geometrical Model for Representing Multi-Dimensional Discrete Spaces and Multiple-Valued Logic Functions (1978) (35)
Discovering attribute dependence in databases by integrating symbolic learning and statistical analysis techniques (1993) (34)
Revealing Conceptual Structure in Data by Inductive Inference (1982) (34)
Comparing Symbolic and Subsymbolic Learning: Three Studies (1992) (33)
Variable-Valued Logic: System VL1 (1974) (32)
Interval Generalization of Switching Theory (1971) (30)
Learning strategies and automated knowledge acquisition: an overview (1987) (30)
The Development of the AQ20 Learning System and Initial Experiments (2001) (29)
An Experiment on Inductive Learning in Chess End Games (1977) (29)
Measuring Quality of Concept Descriptions (1988) (28)
Knowledge Repair Mechanisms: Evolution vs Revolution (1985) (27)
Mining for knowledge in databases: The INLEN architecture, initial implementation and first results (1992) (27)
Inferential Learning Theory as a Basis for Multistrategy Task-Adaptive Learning (1991) (27)
Comparing learning paradigms via diagrammatic visualization: a case study in single concept learning using symbolic, neural net and genetic algorithm methods (1991) (25)
Learning Strategies and Automated Knowledge Acquisition (1987) (25)
A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System (1996) (25)
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning (2004) (25)
A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications (1991) (25)
Selective induction learning system AQ15c: the method and user''s guide (1995) (24)
The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization (2005) (23)
Experimental validations of the learnable evolution model (2000) (22)
Learning Evolving Concepts Using Partial Memory Approach (1995) (21)
Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System (1994) (21)
Machine Learning of Design Rules: Methodology and Case Study (1994) (21)
AQ17 A Multistrategy Learning System The Method and Users Guide (1993) (21)
AQVAL/1 (AQ7) User's Guide and Program Description (1975) (21)
An application of variable-valued logic to inductive learning of plant disease diagnostic rules (1976) (21)
Knowledge Mining: A Proposed New Direction (2003) (20)
Book III: Scientific and Research Applications in Medical Care: A Logic-Based Approach to Conceptual Database Analysis (1982) (20)
The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics (1996) (19)
Inferential Design Theory: A Conceptual Outline (1994) (19)
Seeking Knowledge in the Deluge of Facts (1997) (19)
A method for partial-memory incremental learning and its application to computer intrusion detection (1995) (19)
AI's greatest trends and controversies (2000) (19)
Should Decision Trees be Learned from Examples of from Decision Rules? (1993) (18)
CONSTRUCTIVE INDUCTION FROM DATA IN AQ17-DCI: Further Experiments (1991) (18)
Natural Induction and Conceptual Clustering: A Review of Applications (2006) (18)
Learning symbolic descriptions of shape for object recognition in X-ray images (1997) (18)
Beyond Prototypes and Frames: The Two-tiered Concept Representation (1991) (18)
An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy (1981) (18)
Combining Machine Learning with Evolutionary Computation: Recent Results on LEM (2000) (17)
Applying Learnable Evolution Model to Heat Exchanger Design (2000) (16)
On Learning Decision Structures (1997) (16)
Multitype Pattern Discovery Via AQ21: A Brief Description of the Method and Its Novel Features (2006) (16)
An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology (2000) (16)
Recognizing Blasting Caps in X-Ray Images (1996) (15)
Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation (2000) (15)
Designing Extended Entry Decision Tables and Optimal Decision Trees Using Decision Diagrams (1978) (15)
Reasoning with Meta-values in AQ Learning (2005) (15)
Machine Vision and Learning: Research Issues and Directions (1994) (15)
Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System (1983) (15)
A System of Programs for Computer-Aided Induction: A Summary (1977) (14)
Building Knowledge Scouts Using KGL Metalanguage (2000) (14)
The Principal Axes Method for Constructive Induction (1992) (14)
Toward a Unified Theory of Learning: An Outline of Basic Ideas (1991) (13)
Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery (2012) (13)
Initial Experiments with the LEM1 Learnable Evolution Model: An Application to Function Optimization and Evolvable Hardware (1999) (13)
Learning decision trees from decision rules: A method and initial results from a comparative study (1993) (13)
Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers (2006) (12)
Input Understanding as a Basis for Multistrategy Task-Adaptive Learning (1991) (12)
A Geometrical Model for the Synthesis of Interval Covers (1971) (12)
Discovering Representation Space Transformations for Learning Concept Descriptions Combining DNF and M-of-N Rules (1994) (12)
Multitype Inference in Multistrategy Task-adaptive Learning Dynamic Interlaced Hierarchies (1993) (12)
Comparing Performance of the Learnable Evolution Model and Genetic Algorithms (1999) (12)
The Development of the Inductive Database System VINLEN: A Review of Current Research (2003) (12)
Data-Driven Constructive Induction: A Methodology and its Applications (1998) (12)
Qualitative Prediction: The SPARC/G Methodology for Inductively Describing and Predicting Discrete Processes (1990) (12)
Learning by Inductive Inference (1976) (12)
Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome (2009) (11)
Learning = Inferencing + Memorizing (1993) (11)
Inductive Learning as Rule-Guided Generalization of Symbolic Descriptions: A Theory and Implementation (1984) (11)
Semantic and Syntactic Attribute Types in AQ Learning (2007) (11)
A logic-based approach to conceptual data base analysis. (1983) (11)
Learning in an Inconsistent World: Rule Selection in AQ18 (1999) (11)
Recognition of Total or Partial Symmetry in a Completely or Incompletely Specified Switching Function (1969) (11)
A Partial Memory Incremental Learning Methodology and its Application to Computer Intrusion Detection (1995) (11)
Speeding Up Evolution through Learning: LEM (2000) (11)
A System of Programs for the Synthesis of Switching Circuits Using the Method of Disjoint Stars (1971) (11)
Discovery Planning: Multistrategy Learning in Data Mining (1998) (11)
Constructive Induction An Automated Improvement of Knowledge Representation Spaces for Machine Learning (1993) (11)
A Knowledge Representation System Based on Dynamically Interlaced Hierarchies: Basic Ideas and Examples (1993) (10)
An Application of Symbolic Learning to Intrusion Detection: Preliminary Results from the LUS Methodology (2003) (10)
On the Nature of Explanation or Why Did the Wine Bottle Shatter (1988) (10)
AQ-PM: A System for Partial Memory Learning (1999) (10)
How to Structure Structured Objects (1983) (10)
SPARC/E(V.2), An Eleusis Rule Generator and Game Player (1985) (10)
Learning as Goal-Driven Inference (1995) (10)
An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts (1995) (10)
A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP (2000) (10)
Knowledge Visualization Using Optimized General Logic Diagrams (2005) (9)
A Measure of Description Quality for Data Mining and its Implementation in the AQ18 Learning System (1999) (9)
STAR methodology-based learning about construction accidents and their prevention (1995) (9)
Progress on Vision Through Learning at George Mason University (1994) (9)
A methodological framework for multistrategy task-adaptive learning (1991) (9)
EMERALD 1: An Integrated System of Machine Learning and Discovery Programs for Education and Researc (1989) (9)
An Experimental Comparison of Symbolic and Subsymbolic Learning Paradigms: Phase I-Learning Logic-st (1991) (9)
Multistrategy Task-adaptive Learning Using Dynamically Interlaced Hierarchies: A Methodology and Initial Implementation of INTERLACE (1996) (8)
Proceedings of the Fifth International Workshop on Multistrategy Learning (2000) (8)
Constructive Induction in Structural Design (1992) (8)
.A Validation and Exploration of the Collins-Michalski Theory of Plausible Reasoning (1991) (8)
The AQ18 System for Machine Learning and Data Mining System: An Implementation and User's Guide (2000) (8)
Conceptual Clustering: A Theoretical Foundation and a Method for Partitioning Data into Conjunctive Concepts (1979) (8)
A Rules-to-Trees Conversion in the Inductive Database System VINLEN (2005) (8)
An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results (2006) (8)
Generating Alternative Hypotheses in AQ Learning (2004) (8)
EMERALD 2: An Integrated System of Machine Learning and Discovery Programs to Support Education and Experimental Research (1993) (8)
Learning Patterns in Images (2002) (8)
Inferential Theory of Learning and Inductive Databases (2003) (8)
11 LEARNING FROM OBSERVATION : CONCEPTUAL CLUSTERING (8)
Matching Methods with Problems: A Comparative Analysis of Constructive Induction Approaches (1994) (7)
A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues (1989) (7)
Progress Report on the Learnable Evolution Model (2007) (7)
Intelligent Optimization via Learnable Evolution Model (2006) (7)
Concept-based Clustering versus Numerical Taxonomy (1981) (7)
Incremental Learning of Decision Rules: A Method and Experimental Results (1985) (7)
GEOMETRICAL MODEL FOR THE SYNTHESIS OF INTERVAL COVERS. Report No. 461. (1971) (7)
WEEDER: An Advisory System for the Identification of Grasses in Turf (1989) (7)
The CLUSTER 3 system for goal-oriented conceptual clustering : method and preliminary results (2006) (7)
LEARNING IN AN INCONSISTENT WORLD RULE SELECTION IN STAR / AQ 18 (1999) (7)
Inductive Learning as Rule-Guided Generalization and Conceptual Simplification of Symbolic Descriptions: Unifying principles and a methodology (1980) (7)
Multistrategy Data Exploration Using the INLEN System: Recent Advances (1997) (6)
Machine Learning: Challenges of the Eighties (1986) (6)
Discovering Multi-head Attributional Rules in Large Databases (2001) (6)
Experimental Comparison Of Symbolic And Subsymbolic Learning (1992) (6)
Generalizing Data in Natural Language (2007) (6)
INTERVAL GENERALIZATION OF SWITCHING THEORY. Report No. 442. (1971) (6)
An integration of rule induction and exemplar-based learning for graded concepts (2004) (6)
Knowledge Extraction from Databases: Design Princiles of the INLEN System (1991) (6)
Advances in Machine Learning II, Dedicated to the Memory of Professor Ryszard S. Michalski (2010) (6)
An Architecture for Integrating Machine Learning and Discovery Programs into a Data Analysis System (1991) (6)
Look: implementation of an expert system in information retrieval for database selection (1987) (6)
The AQ Family of Learning Programs: A Review of Recent Developments and an Exemplary Application (1991) (6)
Constructive Closed-Loop Learning: Fundamental Ideas and Examples (1988) (6)
4 – A THEORY AND METHODOLOGY OF INDUCTIVE LEARNING (1983) (6)
AN INFERENCE-BASED FRAMEWORK FOR MULTISTRATEGY LEARNING (1993) (5)
Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems (1988) (5)
Adaptive Anchoring Discretization for Learnable Evolution Model: The ANCHOR Method (2001) (5)
A Review of Machine Learning Methods Machine Learning and Data Mining: Methods and Applications, Edited 1.2 the Machine Learning Task (1996) (5)
An Expert System to Assist Turfgrass Managers in Weed Identification (1985) (5)
The ADVISE.1 Meta-Expert System: The General Design and a Technical Description (1987) (5)
Searching for knowledge in a world flooded with facts (1991) (5)
Multistrategy Constructive Learning: Toward a Unified Theory of Learning (1989) (5)
Machine Learning and Inference Laboratory The Distribution Approximation Approach to Learning from Aggregated Data (2008) (5)
On the Selection of Representative Samples from Large Relational Tables for Inductive Inference (1975) (5)
PROGRESS ON VISION THROUGH LEARNING † : A Collaborative Effort of George Mason University and University of Maryland (1996) (5)
An Integrated Approach to the Construction of Knowledge-Based Systems: Experience with Advise and Related Programs (1989) (5)
Learning Descriptions of 2D Blob-Like Shapes for Object Recognition in X-Ray Images: An Initial Study (1994) (5)
ISHED1: Applying the LEM Methodology to Heat Exchanger Design (2000) (5)
Graphical Minimization of Normal Expressions of Logic Functions Using Tables of the Veitch-Karnaugh Type (1967) (4)
Editorial: Machine Learning and Discovery (1986) (4)
A Variable Decision Space Approach for Implementing a Classification System (1974) (4)
Concepts as Flexible and Context-dependent Sets: the two-tiered view (1991) (4)
An Empirical Comparison Between Learning Decision Trees from Examples and from Decision Rules (1996) (4)
The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results (2007) (4)
Recent Results from the Experimental Evaluation of the Learnable Evolution Model (2002) (4)
Detecting Targets in SAR Images: A Machine Learning Approach (1998) (4)
KGL: A Language for Learning (1997) (4)
CONCEPTUAL TRANSITION FROM LOGIC TO ARITHMETIC IN CONCEPT LEARNING (1994) (4)
An Extension Matrix Approach To The General Covering Problem (1986) (4)
Plausible reasoning: An outline of theory and experiments to validate its structural aspects (1989) (4)
THE PRAX APPROACH TO LEARNING A LARGE NUMBER OF TEXTURE CONCEPTS (1993) (4)
Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results (2002) (3)
Toward Computer-Aided Induction: A Brief Review of Currently Implemented AQVAL Programs (1977) (3)
A Multistrategy Conceptual Analysis of Economic Data (1996) (3)
Problems of Designing an Inferential Medical Consulting System (1974) (3)
A General Criterion for Measuring Quality of Concept Descriptions (1988) (3)
An Experimental Application of the Learnable Evolution Model and Genetic Algorithms to Parameter Estimation in Digital Signal Filters Design (1999) (3)
Learning Descriptions of 2D Shapes for Object Recognition and X-Ray Images (1994) (3)
AgAssistant: An Experimental Expert System Builder for Agricultural Applications (1987) (3)
Selective Inductive Learning Method AQ15C (1995) (3)
Conceptual Transition from Logic to Arithmetic (1994) (3)
The MIST Methodology and Its Application to Natural Scene Interpretation (1999) (3)
A Validation and Exploration of Structural Aspects of the Collins-Michalski Theory of Plausible Reasoning (1990) (3)
LEARNING SYMBOLIC DESCRIPTIONS OF 2 D SHAPES FOR OBJECT RECOGNITION IN X-RAY IMAGES (1995) (3)
Attributional Ruletrees: A New Representation for AQ Learning (2002) (3)
Searching for Knowledge in Large Databases (1992) (3)
Learning Flexible Concepts Through a Search for Simpler but Still Accurate Descriptions (1989) (3)
Proceedings of the International Machine Learning Workshop (3rd) Held in Skytop, Pennsylvania on June 24-26, 1985. (1986) (3)
Inferential Learning Theory: A Conceptual Framework for Characterizing Learning Processes (1991) (3)
Learning User Models for Computer Intrusion Detection: Preliminary Results from Natural Induction Approach (2005) (3)
Learning Hybrid Descriptions (1995) (3)
Recent Advances in Conceptual Clustering: CLUSTER3 (2007) (3)
Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results (2006) (3)
The Logic of Plausible Reasoning: An Advanced Report (1986) (2)
Guest Editors' Introduction (2004) (2)
Theory of Plausible Reasoning - Foundations and Methodology (1990) (2)
An Application of Constructive Induction to Engineering Design (1993) (2)
GMU Research on Learning in Vision: Initial Results (1993) (2)
HOW DID AQ FACE THE EAST-WEST CHALLENGE? An Analysis of the AQ Family's Performance in the 2nd International Competition of Machine Learning Programs (1995) (2)
An Integrated Multitask Inductive Database and Decision Support System VINLEN : An Initial Implementation and First Results (2006) (2)
Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery (2011) (2)
AGASSISTANT: An Artificial Intelligence System for Discovering Patterns in Agricultural Knowledge and Creating Diagnostic Advisory Systems (1989) (2)
A Brief Review of AQ Learning Programs and Their Application to the MONKS Problems (1992) (2)
Learning for Decision Making: the FRD Approach and a Comparative Study (1996) (2)
Machine Learning and Inference Laboratory The LEM 3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization (2005) (2)
Proceedings of the Third International Workshop on Multistrategy Learning, May 23-25 Harpers Ferry, WV. (1996) (2)
Autonomous Cooperating Logistic Processes A Paradigm Shift and its Limitations CRC 637 (2005) (1)
EMERALD 2: An Integrated System of Machine Learning and Discovery Programs for Education and Research, User's Guide (Updated Edition) (1993) (1)
Chapter in the book Machine Learning : An Artificial Intelligence Approach (1990) (1)
Toward a Formal Theory of Human Plausible Reasoning (1981) (1)
Machine Learning and Inference Laboratory Validating Learnable Evolution Model on Selected Optimization and Design Problems (2003) (1)
Initial Considerations toward Knowledge Mining (2004) (1)
AI science vs. applications: accomplishments, failures and long-term goals (1991) (1)
Towards a new Bretton Woods (2010) (1)
El Nino Teleconnections Research: Initial Results Using a Machine Learning and Discovery Approach (1997) (1)
SIGART special issue on machine learning (1981) (1)
Proceedings of the International Workshop on Multistrategy Learning (2nd) Held in Harpers Ferry, West Virginia on May 26-29, 1993 (1993) (1)
The Use of Compound Attributes inAQ Learning (2006) (1)
Seeking Knowledge in the Flood of Facts (1994) (1)
Machine learning research in the artificial intelligence laboratory at Illinois (1986) (1)
A Logic-Based Approach to Optimal Classification into a Large Number of Classes (1974) (1)
Dynamic Recognition: An Outline of Theory of How to Recognize Concepts without Matching Rules (1986) (1)
Techniques and Methodology Machine Learning : A Historical and Methodological Analysis (2001) (1)
Learning Flexible Concepts Using a Two-Tiered Representation (1993) (1)
Future Directions of AI in a Resource-Limited Environment (1989) (1)
Discovering Multidimensional Patterns in Large Datasets Using Knowledge Scouts (1999) (1)
The Monk''s Problem''s: A Performance Comparison of Different Learning Methods (1991) (1)
Machine Vision Through Machine Learning. (1995) (1)
Learning Two-Tiered Descriptions of Flexible Concepts: A Method Employing Examples of Varied Typicality and A Two-staged Construction of the Base Concept Representation Part II: Algorithms and Experiments (1988) (1)
Plausible Reasoning in Tactical Planning. (1987) (0)
Center for Machine Learning and Inference: An Overview of Research and Activities (1995) (0)
Machine Learning and Inference Laboratory Reasoning with Meta-values in AQ Learning (2005) (0)
Types of Explanation and Their Role in Multistrategy Constructive Learning (1989) (0)
EMERALD 2: An Integrated System of Machine Learning and Discovery Programs for Education and Research, Programmer's Guide for the Sun Workstation (Updated Edition) (1997) (0)
Future directions of artificial intelligence in a resource-limited environment (1991) (0)
A System for Learning and Recognition of Alpha-Numeric Characters: A Method and Computer Implementation (1966) (0)
Target Detection in SAR Images Using the MIST/AQ Method (1996) (0)
On the Problems of Buidling Reading Machines (1968) (0)
Appears in Machine Learning: A Multistrategy Appraoch, Vol. IV (2004) (0)
Economic Restructuring and FDI Policies for NIS: Lessons from the Polish Experience (2008) (0)
Learning Design Rules for Wind Bracings in Tall Buildings (2004) (0)
Chapter 21 Learning as Goal-Driven Inference (1994) (0)
Analyzing Diaries for Analytical Relapse Prevention Using Natural Induction: A Method and Preliminary Results (2008) (0)
Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers: Research Articles (2006) (0)
Adaptation through Generalization (1980) (0)
Conjunctive Conceptual Clustering: Classification Using Background Knowledge (1983) (0)
From Facts to Rules to Decisions: An Overview of the FRD-1 System (1994) (0)
ATTRIBUTIONAL CALCULUS : A L OGIC AND R EPRESENTATION L ANGUAGE FOR N ATURAL I NDUCTION (2004) (0)
Machine Learning and Inference Laboratory Progress Report on Learnable Evolution Model (2007) (0)
Reports Machine Learning and Inference Laboratory Initial Considerations toward Knowledge Mining (2004) (0)
An Application of Inductive Inference to Determining Computer Architecture and Compiler Structure (1981) (0)
Guest Editors' Introduction (2004) (0)
Knowledge based programming assistant, KBPA-1 (1982) (0)
Types of Explanation and Their Role in Constructive Closed-loop Learning (1988) (0)
Automatic Synthesis of the Quasi-Minimal Multiple-Output Switching Circuits (1970) (0)
Books Received (2007) (0)
A DAPTIVE A NCHORING D ISCRETIZATION FOR L EARNABLE E VOLUTION M ODEL : T HE ANCHOR M ETHOD (2001) (0)
Learning Hybrid Concept Descriptions (1995) (0)
Editorial: Machine learning and discovery (2005) (0)
Discovering Multidimensional Patterns in Large Datasets by Knowledge Scouts (1999) (0)
Machine Learning and Inference Laboratory Generating Alternative Hypotheses in AQ Learning (2004) (0)
Inductive Learning: A Review of Some Recent Work (1983) (0)
LEARNING ATTRIBUTIONAL TWO-TIERED DESCRIPTIONS OF FLEXIBLE CONCEPTS (2009) (0)
Machine Learning and Inference Laboratory: An Overview of Research and Activities (1996) (0)
Learning Rules for Preventing and Diagnosing Faults in Large-Scale Data Communications Networks: An Exploratory Study (1991) (0)
AQ-PM: A Method for Partial Memory Learning (1999) (0)
Knowledge Base Refinement Through a Supervised Validation of Plausible Reasoning (2009) (0)
Some Problems in Design and Application of Reading Machines (1967) (0)
MSL-96 : proceedings : Third International Conference on Multistrategy Learning, May 23-25, 1996, Harpers Ferry, West Virginia (1996) (0)
Partial Memory Learning System AQ-PM: The Method and User's Guide (1996) (0)
Managing Class Evolution in Object Oriented Systems [14] Nachum Dershowitz, “Programming by Analogy,” in Machine Learning: an Artificial Intelligence Approach (1990) (0)
An Overview of Research Activities in the Machine Learning and Inference Laboratory: 1996-1997 (1997) (0)
A Method of Organizing Data into Conceptual Hierarchies (1981) (0)
Optimizing complex systems by intelligent evolotion: the LEMd method and case study (2006) (0)
Constructive Induction in Engineering Design (1992) (0)
Emerging principles in machine learning (1986) (0)
Computer Vision through Learning (1997) (0)
TOWARD A UNIFIED THEORY OF LEARNING : Basic Ideas and a Classification of Learning Processes (2009) (0)
Inductive Inference as Rule-Guided Transformation of Symbolic Descriptions (1980) (0)
Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies (1993) (0)
The INLEN System for Extracting Knowledge from Databases: Goals and General Description (1989) (0)
10 Learning Patterns in Images (2002) (0)
Determining Computer Architectures and Compiler Structures Through Inductive Inference: A Preliminary Investigation (1983) (0)
Machine Learning. Part 1. A Historical and Methodological Analysis. (1983) (0)
Machine Learning and Vision: Research Issues and Promising Directions (1993) (0)
Introduction (2004) (0)
Detection of Conceptual Patterns Through Inductive Inference (1979) (0)
Learning textural concepts through multilevel symbolic transformations (1991) (0)
Conjunctive Conceptual Clustering: Further Results (1982) (0)
Inductive Databases and Knowledge Scouts (2000) (0)
A N A PPLICATION OF S YMBOLIC L EARNING TO I NTRUSION D ETECTION : P RELIMINARY R ESULTS FROM THE LUS M ETHODOLOGY (2003) (0)
On the Nature of Learning: Problems and Research Directions (1988) (0)

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