Christopher John C. Burges
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Christopher John C. Burges's AcademicInfluence.com Rankings
Christopher John C. Burgescomputer-science Degrees
Computer Science
#5872
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#6196
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Machine Learning
#1721
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#1744
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Artificial Intelligence
#1962
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#1996
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Database
#2995
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#3123
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Computer Science
Why Is Christopher John C. Burges Influential?
(Suggest an Edit or Addition)Christopher John C. Burges'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
- A Tutorial on Support Vector Machines for Pattern Recognition (1998) (5844)
- Advances in kernel methods: support vector learning (1999) (5368)
- Support Vector Regression Machines (1996) (4145)
- Learning to rank using gradient descent (2005) (2646)
- Comparing support vector machines with Gaussian kernels to radial basis function classifiers (1997) (1382)
- Input space versus feature space in kernel-based methods (1999) (1265)
- From RankNet to LambdaRank to LambdaMART: An Overview (2010) (1074)
- Extracting Support Data for a Given Task (1995) (667)
- MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text (2013) (656)
- Learning to Rank with Nonsmooth Cost Functions (2006) (613)
- Adapting boosting for information retrieval measures (2010) (530)
- Simplified Support Vector Decision Rules (1996) (518)
- McRank: Learning to Rank Using Multiple Classification and Gradient Boosting (2007) (500)
- Spectral clustering and transductive learning with multiple views (2007) (459)
- Improving the Accuracy and Speed of Support Vector Machines (1996) (425)
- Incorporating Invariances in Support Vector Learning Machines (1996) (331)
- Dimension Reduction: A Guided Tour (2010) (292)
- Geometry and invariance in kernel based methods (1999) (267)
- Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models (1996) (256)
- Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources (2007) (240)
- Multi-Digit Recognition Using a Space Displacement Neural Network (1991) (187)
- The First Census Optical Character Recognition Systems Conference | NIST (1992) (164)
- LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition (1995) (161)
- Distortion discriminant analysis for audio fingerprinting (2003) (153)
- Ranking, Boosting, and Model Adaptation (2008) (141)
- Learning to Rank Using an Ensemble of Lambda-Gradient Models (2010) (139)
- A Geometric Interpretation of ?-SVM Classifiers (1999) (129)
- Optimisation methods for ranking functions with multiple parameters (2006) (128)
- High accuracy retrieval with multiple nested ranker (2006) (125)
- Uniqueness of the SVM Solution (1999) (124)
- Geometric Methods for Feature Extraction and Dimensional Reduction (2005) (120)
- Virtual effects of excited quarks as probes of a possible new hardonic mass scale (1983) (117)
- Learning a Gaussian Process Prior for Automatically Generating Music Playlists (2001) (117)
- A Geometric Interpretation of v-SVM Classifiers (1999) (114)
- Supersymmetry in anti-de Sitter space (1986) (105)
- On the local optimality of LambdaRank (2009) (101)
- Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces (1998) (95)
- Inferring similarity between music objects with application to playlist generation (2005) (91)
- Learning to Rank with Non-Smooth Cost Functions (2007) (85)
- The Microsoft Research Sentence Completion Challenge (2011) (82)
- Distinctive feature detection using support vector machines (1999) (74)
- Extracting noise-robust features from audio data (2002) (70)
- Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour (2005) (69)
- A machine learning approach for improved BM25 retrieval (2009) (67)
- Learning to Rank Using Classification and Gradient Boosting (2008) (67)
- The Second Census Optical Character Recognition Systems Conference (1994) (65)
- Learning to rank with multiple objective functions (2011) (60)
- Reading handwritten digits: a ZIP code recognition system (1992) (54)
- Improving web spam classification using rank-time features (2007) (53)
- Introduction to support vector learning (1999) (51)
- Shortest path segmentation: a method for training a neural network to recognize character strings (1992) (50)
- Computational Approaches to Sentence Completion (2012) (49)
- Transductive link spam detection (2007) (47)
- Model Adaptation via Model Interpolation and Boosting for Web Search Ranking (2009) (45)
- Convolutional networks for speech detection (2004) (41)
- A Challenge Set for Advancing Language Modeling (2012) (40)
- Redundant Bit Vectors for Quickly Searching High-Dimensional Regions (2004) (38)
- Using audio fingerprinting for duplicate detection and thumbnail generation (2005) (35)
- Factoring as Optimization (2002) (33)
- Off Line Recognition of Handwritten Postal Words Using Neural Networks (1993) (32)
- The de Sitter vacuum (1984) (30)
- Buoyant Mixtures of Cellular Automaton Gases (1987) (27)
- Improving Wavelet Image Compression with Neural Networks (2001) (27)
- Scaling Up Machine Learning: Large-Scale Learning to Rank Using Boosted Decision Trees (2011) (26)
- Semi-Supervised Learning with Conditional Harmonic Mixing (2006) (25)
- On Using Simultaneous Perturbation Stochastic Approximation for Learning to Rank, and the Empirical Optimality of LambdaRank (2007) (21)
- Towards the Machine Comprehension of Text: An Essay (2013) (19)
- Editorial: Kernel Methods: Current Research and Future Directions (2002) (19)
- Uniqueness theorems for kernel methods (2003) (18)
- Indexing High Dimensional Rectangles for Fast Multimedia Identification (2003) (18)
- Image Segmentation and Recognition (1994) (16)
- 1 Making Large-scale Svm Learning Practical (1999) (16)
- Ranking as Learning Structured Outputs (2005) (16)
- Question Answering over Implicitly Structured Web Content (2007) (15)
- On Using Simultaneous Perturbation Stochastic Approximation for IR Measures , and the Empirical Optimality of LambdaRank (2007) (13)
- Web-based Question Answering: Revisiting AskMSR (2015) (12)
- Identifying audio clips with RARE (2003) (11)
- Neural Network Applications in Character Recognition and Document Analysis (1994) (11)
- Some Notes on Applied Mathematics for Machine Learning (2003) (9)
- Improving Wavelet Compression with Neural Networks (2001) (9)
- A neural network approach to handprint character recognition (1991) (8)
- Knowledge Discovery and Data Mining (1998) (7)
- Analysis of complex and noisy check images (1995) (7)
- Animacy Detection with Voting Models (2013) (7)
- Handwritten digit string recognition (1998) (7)
- Ranking as Function Approximation (2007) (7)
- Classifier selection using the predicate depth (2013) (6)
- Using Signals of Human Interest to Enhance Single-document Summarization (2008) (6)
- Message Passing Inference with Chemical Reaction Networks (2013) (6)
- DUPLICATE DETECTION AND AUDIO THUMBNAILS WITH AUDIO FINGERPRINTING (2004) (5)
- Homogeneous transitions in an inflating universe (1983) (5)
- On the Optimality of LambdaRank (2008) (4)
- Current conservation and parallelism in nonlinear sigma models (1986) (4)
- Deep inelastic scattering as a probe of new hadronic mass scales (1984) (4)
- Discriminative gaussian mixture models for speaker verification (2003) (3)
- Learning from mistakes: towards a correctable learning algorithm (2012) (3)
- Image compression with on-line and off-line learning (2003) (3)
- A Base Camp for Scaling AI (2016) (2)
- Learning to Rank on a Cluster using Boosted Decision Trees (2010) (2)
- The Median Hypothesis (2013) (1)
- Image Compression: An approach using Wavelet Transform and Modified FCM (2016) (0)
- Cost Effective Approach on Feature Selection using Genetic Algorithms and LS-SVM Classifier (2020) (0)
- The Tunnelling Salesman: Truncated Variational Approximations for Quantum Mechanical Global Optimization (2002) (0)
- Phenomenological Constraints on Possible New Hadronic Mass Scales (1984) (0)
- 1 Semi-Supervised Learning with Conditional Harmonic Mixing (2006) (0)
- A 11 Patent Number : 5 , 647 , 027 45 Date of Patent : Jul . 8 , 1997 (2017) (0)
- Discussion on the paper by Friedman and Fisher (1999) (0)
- Relations World: A Possibilistic Graphical Model (2014) (0)
- Improved Digital Image Compression using Modified Single Layer Linear Neural Networks (2020) (0)
- Probability estimation for classification by means of the K nearest neighbors (2003) (0)
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