Stephen Muggleton
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Why Is Stephen Muggleton Influential?
(Suggest an Edit or Addition)According to Wikipedia, Stephen H. Muggleton FBCS, FIET, FAAAI, FECCAI, FSB, FREng is Professor of Machine Learning and Head of the Computational Bioinformatics Laboratory at Imperial College London. Education Muggleton received his Bachelor of Science degree in computer science and Doctor of Philosophy in artificial intelligence supervised by Donald Michie at the University of Edinburgh.
Stephen Muggleton'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
- Inductive Logic Programming: Theory and Methods (1994) (1808)
- Inverse entailment and progol (1995) (916)
- Efficient Induction of Logic Programs (1990) (857)
- Functional genomic hypothesis generation and experimentation by a robot scientist (2004) (607)
- Machine Invention of First Order Predicates by Inverting Resolution (1988) (606)
- Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction (1996) (380)
- Stochastic Logic Programs (1996) (344)
- Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming. (1996) (260)
- Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase. (1992) (255)
- Learning from Positive Data (1996) (253)
- Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited (2013) (195)
- Duce, An Oracle-based Approach to Constructive Induction (1987) (180)
- Probabilistic Inductive Logic Programming - Theory and Applications (2008) (158)
- PAC-learnability of determinate logic programs (1992) (151)
- Carcinogenesis Predictions Using ILP (1997) (150)
- Inductive Logic Programming (2011) (146)
- Inductive programming meets the real world (2015) (143)
- Protein secondary structure prediction using logic-based machine learning. (1992) (142)
- Protein secondary structure prediction using logic-based machine learning (1992) (139)
- The Predictive Toxicology Evaluation Challenge (1997) (137)
- Structured machine learning: the next ten years (2008) (134)
- Meta-interpretive learning: application to grammatical inference (2013) (129)
- Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic (1999) (127)
- Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL (1998) (126)
- Learning Stochastic Logic Programs (2000) (126)
- ILP turns 20 (2011) (119)
- Theory Completion Using Inverse Entailment (2000) (119)
- Learning Qualitative Models of Dynamic Systems (1994) (117)
- An Experimental Comparison of Human and Machine Learning Formalisms (1989) (114)
- Non-monotonic learning (1991) (103)
- Application of abductive ILP to learning metabolic network inhibition from temporal data (2006) (103)
- Inductive acquisition of expert knowledge (1986) (99)
- Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP (2018) (95)
- Bias reformulation for one-shot function induction (2014) (91)
- Scientific knowledge discovery using inductive logic programming (1999) (90)
- Inductive logic programming: derivations, successes and shortcomings (1993) (88)
- ILP turns 20 - Biography and future challenges (2012) (75)
- Compression, Significance, and Accuracy (1992) (73)
- Networking Our Way to Better Ecosystem Service Provision. (2016) (70)
- Support Vector Inductive Logic Programming (2005) (69)
- Automated Discovery of Food Webs from Ecological Data Using Logic-Based Machine Learning (2011) (68)
- Learning Structure and Parameters of Stochastic Logic Programs (2002) (68)
- Turning 30: New Ideas in Inductive Logic Programming (2020) (67)
- To the international computing community: A new East-West challenge (1994) (67)
- Networking Agroecology: Integrating the Diversity of Agroecosystem Interactions (2013) (66)
- Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes (2001) (63)
- Distinguishing Exceptions From Noise in Non-Monotonic Learning (1992) (58)
- 2020 Computing: Exceeding human limits (2006) (55)
- Bayesian inductive logic programming (1994) (55)
- ProGolem: A System Based on Relative Minimal Generalisation (2009) (54)
- Inductive logic programming (1991) (54)
- Learning Programs in the Event Calculus (1997) (52)
- Automated discovery of structural signatures of protein fold and function. (2001) (51)
- Inductive Logic Programming: 6th International Workshop, ILP-96, Stockholm, Sweden, August 26-28, 1996, Selected Papers (1997) (49)
- Learning Higher-Order Logic Programs through Abstraction and Invention (2016) (46)
- Scaffold Hopping in Drug Discovery Using Inductive Logic Programming (2008) (44)
- Relational Rule Induction with CProgol4.4: A Tutorial Introduction (2001) (44)
- A Strategy for Constructing New Predicates in First-Order Logic (1988) (43)
- Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds (2007) (42)
- Biochemical Knowledge Discovery Using Inductive Logic Programming (1998) (41)
- Chapter Four – Construction and Validation of Food Webs Using Logic-Based Machine Learning and Text Mining (2013) (41)
- Learning probabilistic logic models from probabilistic examples (2007) (41)
- Developing a Logical Model of Yeast Metabolism (2001) (40)
- Application of machine learning to structural molecular biology. (1994) (39)
- Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning (2014) (38)
- How Does Predicate Invention Affect Human Comprehensibility? (2016) (38)
- The role of background knowledge : using a problemfrom chemistry to examine the performance of anILP program (1996) (37)
- Inverting Implication (1992) (37)
- Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure (1998) (36)
- Learning Efficient Logical Robot Strategies Involving Composable Objects (2015) (36)
- Mathematical applications of inductive logic programming (2006) (36)
- A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees (1995) (35)
- Structure Activity Relationships (SAR) and Pharmacophore Discovery Using Inductive Logic Programming (ILP) (2003) (35)
- The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures (2001) (35)
- Alan Turing and the development of Artificial Intelligence (2014) (34)
- Predicate invention and utilization (1994) (34)
- The identification of similarities between biological networks: application to the metabolome and interactome. (2007) (34)
- A Novel Logic-Based Approach for Quantitative Toxicology Prediction (2007) (34)
- Elements of computational systems biology (2010) (34)
- The Application of Inductive Logic Programming to Finite Element Mesh Design (2007) (32)
- The automatic discovery of structural principles describing protein fold space. (2003) (32)
- Modelling Inhibition in Metabolic Pathways Through Abduction and Induction (2004) (32)
- Towards Inductive Generalization in Higher Order Logic (1992) (31)
- Detecting Traffic Problems with ILP (1998) (31)
- Structuring Knowledge by Asking Questions (1987) (30)
- Meta-Interpretive Learning of Data Transformation Programs (2015) (30)
- Is Mutagenesis still challenging ? (2005) (30)
- Learning to Relate Terms in a Multiple Agent Environment (1991) (30)
- Modelling the structure and function of enzymes by machine learning. (1992) (30)
- Learning optimal chess strategies (1994) (29)
- The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause (2009) (28)
- Integrative top-down system metabolic modeling in experimental disease states via data-driven Bayesian methods. (2008) (28)
- Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study (2012) (28)
- Inductive logic programming at 30 (2021) (28)
- QG/GA: a stochastic search for Progol (2008) (28)
- Searching the Subsumption Lattice by a Genetic Algorithm (2000) (27)
- Repeat Learning Using Predicate Invention (1998) (27)
- A Genetic Algorithms Approach to ILP (2002) (26)
- Completing Inverse Entailment (1998) (25)
- Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study (2001) (25)
- Gene Function Hypotheses for the Campylobacter jejuni Glycome Generated by a Logic-Based Approach (2013) (24)
- Analogical Prediction (1999) (23)
- Meta-Interpretive Learning from noisy images (2018) (23)
- Beneficial and harmful explanatory machine learning (2020) (23)
- Machine Learning for Systems Biology (2005) (22)
- MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement (2013) (21)
- Drug Design by Machine Learning (1995) (21)
- Learning higher-order logic programs (2019) (21)
- Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods (2004) (20)
- Machine learning metabolic pathway descriptions using a probabilistic relational representation (2002) (19)
- Machine Learning a Probabilistic Network of Ecological Interactions (2011) (19)
- The Justification of Logical Theories based on Data Compression (1994) (19)
- ILP for Mathematical Discovery (2003) (19)
- Modeling the effects of toxins in metabolic networks. (2007) (18)
- Abductive Knowledge Induction From Raw Data (2020) (18)
- Inductive Logic Programming: Issues, Results and the LLL Challenge (abstract) (1998) (17)
- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples (2009) (17)
- Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts (2015) (16)
- Special issue on inductive logic programming (1995) (15)
- Inverting the resolution principle (1991) (15)
- Scalable acceleration of inductive logic programs (2002) (15)
- Learnability of Constrained Logic Programs (1993) (15)
- Combining active learning with inductive logicprogramming to close the loop in machine learning (1999) (14)
- Subsumer: A Prolog theta-subsumption engine (2010) (14)
- Drug design using inductive logic programming (1993) (13)
- Theory Recovery (1999) (13)
- Inverting Entailment and Progol (1996) (13)
- Optimal Layered Learning: A PAC Approach to Incremental Sampling (1993) (12)
- Discovering rules for protein-ligand specificity using support vector inductive logic programming. (2009) (12)
- Towards Machine Learning of Predictive Models from Ecological Data (2014) (12)
- Carcinogenesis Predictions Using Inductive Logic Programming (1997) (12)
- Logical Vision: One-Shot Meta-Interpretive Learning from Real Images (2017) (12)
- A Comparison of ILP and Propositional Systems on Propositional Traffic Data (1998) (12)
- Inductive acquisition of chess strategies (1988) (12)
- Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning (2020) (11)
- A Behavioral Comparison of Some Probabilistic Logic Models (2008) (11)
- Systems analysis of bacterial glycomes. (2010) (11)
- Semantics and derivation for Stochastic Logic Programs (2000) (11)
- Can ILP Be Applied to Large Datasets? (2009) (10)
- Using Genetic Algorithms for learning clauses in first-order logic (2001) (10)
- An ILP System for Learning Head Output Connected Predicates (2009) (10)
- MC-TopLog: Complete Multi-clause Learning Guided by a Top Theory (2011) (10)
- Induction of Enzyme Classes from Biological Databases (2003) (10)
- Typed meta-interpretive learning for proof strategies (2015) (9)
- Abduction with Stochastic Logic Programs based on a Possible Worlds Semantics (2006) (9)
- Abductive Learning with Ground Knowledge Base (2021) (8)
- Multi-Class protein fold recognition using large margin logic based divide and conquer learning (2010) (8)
- The rule-based systems project: Using confirmation theory and non-monotonic logics for incremental learning (1992) (8)
- Latest Advances in Inductive Logic Programming (2014) (8)
- An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming (1996) (8)
- Machine Intelligibility and the Duality Principle (1997) (8)
- Decision-Theoretic Logic Programs (2009) (8)
- Learning Large Margin First Order Decision Lists for Multi-Class Classification (2009) (7)
- Customisable Multi-Processor Acceleration of Inductive Logic Programming (2011) (7)
- Assessment of a rule-based virtual screening technology (INDDEx) on a benchmark data set. (2012) (7)
- Machine intelligence and inductive learning (1994) (7)
- Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming (2001) (7)
- Automatic Invention of Functional Abstractions (2011) (7)
- Declarative Kernels (2004) (6)
- Learning Chomsky-like Grammars for Biological Sequence Families (2000) (6)
- A Novel Logic‐Based Approach for Quantitative Toxicology Prediction. (2007) (6)
- Logic-based machine learning (2000) (6)
- Protein Fold Discovery Using Stochastic Logic Programs (2008) (6)
- Fast Abductive Learning by Similarity-based Consistency Optimization (2021) (6)
- Developments in Inductive Logic Programming, Panel Position Paper (1992) (6)
- Abduction and induction for learning models of inhibition in metabolic networks (2005) (5)
- Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning (2007) (5)
- A Note on Refinement Operators for IE-Based ILP Systems (2008) (5)
- Latest Advances in Inductive Logic Programming, ILP 2011, Late Breaking Papers, Windsor Great Park, UK, July 31 - August 3, 2011 (2014) (5)
- Towards Efficient Higher-Order Logic Learning in a First-Order Datalog Framework (2011) (5)
- Does Multi-Clause Learning Help in Real-World Applications? (2011) (5)
- WIBL: Workbench for Integrative Biological Learning (2011) (5)
- Stochastic Refinement (2010) (5)
- Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study (2000) (5)
- Can ILP be Applied to Large Dataset ? (2010) (5)
- An Experiment with Browsers that Learn (1995) (5)
- Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning (2019) (5)
- Elements of Computational Systems Biology: Lodhi/Computational Systems Biology (2010) (4)
- Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract) (2007) (4)
- Top program construction and reduction for polynomial time Meta-Interpretive learning (2021) (4)
- Application of machine learning to protein structure prediction and drug design (1994) (4)
- Approaches and Applications of Inductive Programming (Dagstuhl Seminar 17382) (2017) (4)
- Incorporating Virtual Reactions into a Logic-based Ligand-based Virtual Screening Method to Discover New Leads (2015) (4)
- Mdl Codes for Non-Monotonic Learning (1991) (4)
- 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis (2006) (4)
- Proceedings of the 21st international conference on Inductive Logic Programming (2011) (4)
- When Does It Pay Off to Use Sophisticated Entailment Engines in ILP? (2010) (4)
- Guest editorial: special issue on Inductive Logic Programming (2008) (4)
- Inductive Logic Programming: Inverse Resolution and Beyond (1995) (4)
- Meta-Interpretive Learning: Achievements and Challenges (Invited Paper) (2017) (3)
- Logic and Learning: Turing's legacy (1994) (3)
- Symbolic Classifiers: Conditions to Have Good Accuracy Performance (1994) (3)
- Multi-class protein fold recognition using large margin logic based divide and conquer learning (2009) (3)
- Declarative Knowledge Discovery in Industrial Databases (1997) (3)
- Multi-class Prediction Using Stochastic Logic Programs (2007) (3)
- Machine Intelligence 13, Machine Intelligence and Inductive Learning, Loch Lomond, UK, 1992 (1994) (3)
- Can HOLL Outperform FOLL? (2010) (3)
- The Complexity of Translating BLPs to RMMs (2007) (3)
- Machine intelligence 14: applied machine intelligence (1996) (3)
- Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 (2008) (3)
- Machine Intelligence 15, Intelligent Agents [St. Catherine's College, Oxford, UK, July 1995] (1999) (3)
- Statistical Aspects of Logic-Based Machine Learning (2007) (3)
- Machine Learning and Text Mining of Trophic Links (2012) (3)
- Variation of Background Knowledge in an Industrial Application of ILP (2010) (3)
- PEPL : An implementation of FAM for SLPs (2011) (3)
- Guest editorial: special issue on Inductive Logic Programming (ILP 2011) (2012) (3)
- 14 CARCINOGENESIS PREDICTIONS (1997) (2)
- Editors's Introduction to the Special Issue on "100 Years of Alan Turing and 20 Years of SLAIS" (2013) (2)
- Knowledge Discovery in Biological and Chemical Domains (1998) (2)
- Learning Stochastic Logical Automaton (2006) (2)
- Detecting Traac Problems with Ilp (1998) (2)
- Can ILP Learn Complete and Correct Game Strategies? (2011) (2)
- Automatic determination of protein fold signatures from structural superpositions (2001) (2)
- Multi‐class Mode of Action Classification of Toxic Compounds Using Logic Based Kernel Methods (2010) (2)
- Machine Learning and biomolecular modelling (1994) (2)
- Approaches and Applications of Inductive Programming (Dagstuhl Seminar 15442) (2015) (2)
- From ILP to PILP (2008) (2)
- Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation (2021) (2)
- Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? (2019) (2)
- Approaches and Applications of Inductive Programming (Dagstuhl Seminar 19202) (2019) (2)
- Meta-Interpretive Learning: achievements and challenges (2015) (2)
- Applications of inductive logic programming : New horizons in commercial and industrial AI (1995) (2)
- 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis (2005) (1)
- Combining active inductive programming, active learning and robotics to discover the function of genes (2001) (1)
- Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers (2012) (1)
- Towards Chemical Universal Turing Machines (2006) (1)
- Advances in ILP Theory and Implementations (Abstract) (1998) (1)
- The cycle of abductive and inductive knowledge development (2000) (1)
- Abduction and induction for modelling inhibition in metabolic networks (1)
- Learning Higher-Order Programs through Predicate Invention (2020) (1)
- 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis (2007) (1)
- The Effect of Predicate Order on Curriculum Learning in ILP (2017) (1)
- Generalising Closed World Specialisation: a Chess End Game Application (2007) (1)
- Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study (2012) (1)
- How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? (2018) (1)
- Biography and future challenges (2011) (1)
- Knowledge Mining Biological Network Models (2010) (1)
- Encoding the Universe (1988) (1)
- Scaffold Hopping Using Inductive Logic Programming (2008) (1)
- A Revised Comparison of Bayesian Logic Programs and Stochastic Logic Programs ? (2006) (1)
- Use of Inductive Logic Programming to Learn Principles of Protein Structure (2000) (1)
- Guest Editors' Introduction: Inductive Logic Programming (1999) (1)
- Approaches and Applications of Inductive Programming (2021) (1)
- Can predicate invention compensate for incomplete background knowledge? (2015) (1)
- Towards Belief Propagation in Shared Logic Program (1)
- Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers (2007) (1)
- Mres/diploma Examinations, 2000 Bioinformatics Part Bi Logic and Learning for Biologists (llb) Open Examination 1 Hidden Markov Models and Bayesian Statistics 1.1 Predicting States with Hmms (25 Marks) (2001) (0)
- Machine Intelligence 14, Proceedings of the Fourteenth Machine Intelligence Workshop, held at Hitachi Advanced Research Laboratories, Tokyo, Japan, November 1993 (1995) (0)
- A I ] 2 6 Fe b 20 20 Turning 30 : New Ideas in Inductive Logic Programming (2020) (0)
- A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming (2008) (0)
- Selected Papers from the 6th International Workshop on Inductive Logic Programming (1996) (0)
- Full membership (and authorship) list of the QUINTESSENCE Consortium (2016) (0)
- A Stochastic Action Language A (2002) (0)
- Correction to: How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? (2018) (0)
- Report of Dagstuhl Seminar 15442 Approaches and Applications of Inductive Programming (2016) (0)
- Learning efficient logic programs (2018) (0)
- Guest editorial: special issue on Inductive Logic Programming (ILP 2011) (2012) (0)
- ConstructionandValidationofFood Webs Using Logic-Based Machine Learning and Text Mining (2013) (0)
- Inductive Logic Programming: 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011 (2012) (0)
- Projection-Based PILP: Computational Learning Theory with Empirical Results (2011) (0)
- Human-like Computer Vision (2021) (0)
- Subsumer : A Prolog θ-subsumption engine (2010) (0)
- Applied Machine intelligence (1995) (0)
- Proceedings of Ecai-96 Workshop: Empirical Ai Programme Committee (1996) (0)
- Late-breaking papers proceedings of ILP 2015 (LBP-ILP 2015) (2016) (0)
- Report from Dagstuhl Seminar 14381 Neural-Symbolic Learning and Reasoning (2015) (0)
- Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation (2021) (0)
- Application of Inductive Logic Programming toDiscover Rules Explaining ProteinThree-Dimensional (1998) (0)
- Meta-interpretive learning as metarule specialisation (2021) (0)
- Top program construction and reduction for polynomial time Meta-Interpretive learning (2021) (0)
- Inductive logic programming at 30 (2021) (0)
- Computing Confidence Measures in Stochastic Logic Programs (2005) (0)
- Recent Developments in Applying Machine Learning to Drug Design (1998) (0)
- Wiley Series on Bioinformatics: Computational Techniques and Engineering (2010) (0)
- Developing Robust Synthetic Biology Designs Using a Microfluidic Robot Scientist (2008) (0)
- The Technical Contribution of Marek Sergot (2012) (0)
- Bayesian integration in sensorimotor learning (2004) (0)
- Learning the Time Complexity of Logic Programs (2005) (0)
- Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Bagging (2004) (0)
- ILP turns 20 (2011) (0)
- Meta-interpretive learning: application to grammatical inference (2013) (0)
- Correction to: Meta-interpretive learning as metarule specialisation (2022) (0)
- A machine learning approach for drug design and protein structure prediction (1993) (0)
- Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning (2019) (0)
- Computational Systems Biology (2010) (0)
- Special Issue on Semantic Technology (2019) (0)
- Scaffold Hopping in Drug Discovery Using Inductive Logic Programming. (2008) (0)
- Measuring Performance when Positives are Rare (2000) (0)
- Human-Machine Scientific Discovery (2021) (0)
- Model Revision from Temporal Logic Properties in Computational Systems Biology (2019) (0)
- Contributions to AI 4 FM 2015 The 6 th International Workshop on the use of AI in Formal Methods (2015) (0)
- Explanatory machine learning for sequential human teaching (2022) (0)
- Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 (2006) (0)
- Automated Biodesign Engineering by Abductive Meta-Interpretive Learning (2021) (0)
- In conversation: 'An opportunity to innovate' (2014) (0)
- Report from Dagstuhl Seminar 19202 Approaches and Applications of Inductive Programming (2019) (0)
- Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP (2018) (0)
- Guest Editors' Introduction (2004) (0)
- Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology (2003) (0)
- The Scientific Contribution of Marek Sergot (2012) (0)
- Meta-Interpretive Learning from noisy images (2018) (0)
- Statistical Relational Learning ( 1 ) : Introduction to Probabilistic Inductive Logic Programming ( PILP ) (2017) (0)
- Machine Learning of Biological Networks Using Abductive ILP (2014) (0)
- Multi-Class Protein Fold Prediction Using Stochastic Logic Programs ? (2006) (0)
- 5 Support Vector Inductive Logic Programming (0)
- Models of Inhibition in Biological Networks (2007) (0)
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