On the Complexity of Learning Lexicographic Strategies (English)
- New search for: Schmitt, M.
- New search for: Martignon, L.
- New search for: Schmitt, M.
- New search for: Martignon, L.
In:
JOURNAL OF MACHINE LEARNING RESEARCH
;
7
, 1
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55-84
;
2007
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ISSN:
- Article (Journal) / Print
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Title:On the Complexity of Learning Lexicographic Strategies
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Contributors:Schmitt, M. ( author ) / Martignon, L. ( author )
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Published in:JOURNAL OF MACHINE LEARNING RESEARCH ; 7, 1 ; 55-84
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Publisher:
- New search for: THE MIT PRESS
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Publication date:2007-01-01
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Size:30 pages
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ISSN:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 006
- Further information on Dewey Decimal Classification
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Classification:
DDC: 006 -
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© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents – Volume 7, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Statistical Comparisons of Classifiers over Multiple Data SetsDemsar, J. et al. | 2007
- 31
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Incremental Algorithms for Hierarchical ClassificationCesa-Bianchi, N. / Gentile, C. / Zaniboni, L. et al. | 2007
- 55
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On the Complexity of Learning Lexicographic StrategiesSchmitt, M. / Martignon, L. et al. | 2007
- 85
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Generalized Bradley-Terry Models and Multi-Class Probability EstimatesHuang, T.-K. / Weng, R. C. / Lin, C.-J. et al. | 2007
- 117
-
Bounds for Linear Multi-Task LearningMaurer, A. et al. | 2007
- 141
-
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization ErrorSugiyama, M. et al. | 2007
- 167
-
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and MammalsPe er, D. / Tanay, A. / Regev, A. et al. | 2007
- 191
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Learning the Structure of Linear Latent Variable ModelsSilva, R. / Scheine, R. / Glymour, C. / Spirtes, P. et al. | 2007
- 247
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In Search of Non-Gaussian Components of a High-Dimensional DistributionBlanchard, G. / Kawanabe, M. / Sugiyama, M. / Spokoiny, V. / Muller, K.-R. et al. | 2007
- 283
-
Some Discriminant-Based PAC AlgorithmsGoldberg, P. W. et al. | 2007
- 307
-
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting (Special Topic on Inductive Programming)Passerini, A. / Frasconi, P. / De Raedt, L. et al. | 2007
- 343
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Using Machine Learning to Guide Architecture SimulationHamerly, G. / Perelman, E. / Lau, J. / Calder, B. / Sherwood, T. et al. | 2007
- 379
-
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet DecompositionBegleiter, R. / El-Yaniv, R. et al. | 2007
- 413
-
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient EstimationMunos, R. et al. | 2007
- 429
-
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach (Special Topic on Inductive Programming)Kitzelmann, E. / Schmid, U. et al. | 2007
- 455
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Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant AnalysisCenteno, T. P. / Lawrence, N. D. et al. | 2007
- 493
-
Learning Recursive Control Programs from Problem Solving (Special Topic on Inductive Programming)Langley, P. / Choi, D. et al. | 2007
- 519
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Learning Coordinate Covariances via GradientsMukherjee, S. / Zhou, D.-X. et al. | 2007
- 551
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Online Passive-Aggressive AlgorithmsCrammer, K. / Dekel, O. / Keshet, J. / Shalev-Shwartz, S. / Singer, Y. et al. | 2007
- 587
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Toward Attribute Efficient Learning of Decision Lists and ParitiesKlivans, A. R. / Servedio, R. A. et al. | 2007
- 603
-
A Direct Method for Building Sparse Kernel Learning AlgorithmsWu, M. / Scholkopf, B. / Bakir, G. et al. | 2007
- 625
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Stochastic Complexities of Gaussian Mixtures in Variational Bayesian ApproximationWatanabe, K. / Watanabe, S. et al. | 2007
- 645
-
Pattern Recognition for Conditionally Independent DataRyabko, D. et al. | 2007
- 665
-
Learning Minimum Volume SetsScott, C. D. / Nowak, R. D. et al. | 2007
- 705
-
Some Theory for Generalized Boosting AlgorithmsBickel, P. J. / Ritov, Y. / Zakai, A. et al. | 2007
- 733
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QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector MachinesHush, D. / Kelly, P. / Scovel, C. / Steinwart, I. et al. | 2007
- 771
-
Policy Gradient in Continuous TimeMunos, R. et al. | 2007
- 793
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Learning Image Components for Object RecognitionSpratling, M. W. et al. | 2007
- 817
-
Consistency and Convergence Rates of One-Class SVMs and Related AlgorithmsVert, R. / Vert, J.-P. et al. | 2007
- 855
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Infinite-sigma; Limits For Tikhonov RegularizationLippert, R. A. / Rifkin, R. M. et al. | 2007
- 877
-
Evolutionary Function Approximation for Reinforcement LearningWhiteson, S. / Stone, P. et al. | 2007
- 919
-
Rearrangement Clustering: Pitfalls, Remedies, and ApplicationsClimer, S. / Zhang, W. et al. | 2007
- 945
-
Segmental Hidden Markov Models with Random Effects for Waveform ModelingKim, S. / Smyth, P. et al. | 2007
- 971
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Lower Bounds and Aggregation in Density EstimationLecue, G. et al. | 2007
- 983
-
Quantile Regression ForestsMeinshausen, N. et al. | 2007
- 1001
-
Sparse BoostingBuhlmann, P. / Yu, B. et al. | 2007
- 1025
-
One-Class Novelty Detection for Seizure Analysis from Intracranial EEGGardner, A. B. / Krieger, A. M. / Vachtsevanos, G. / Litt, B. et al. | 2007
- 1045
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A Graphical Representation of Equivalence Classes of AMP Chain GraphsRoverato, A. / Studeny, M. et al. | 2007
- 1079
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Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning ProblemsEven-Dar, E. / Mannor, S. / Mansour, Y. et al. | 2007
- 1107
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Step Size Adaptation in Reproducing Kernel Hilbert SpaceVishwanathan, S. V. N. / Schraudolph, N. N. / Smola, A. J. et al. | 2007
- 1135
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New Algorithms for Efficient High-Dimensional Nonparametric ClassificationLiu, T. / Moore, A. W. / Gray, A. et al. | 2007
- 1159
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A Very Fast Learning Method for Neural Networks Based on Sensitivity AnalysisCastillo, E. / Guijarro-Berdinas, B. / Fontenla-Romero, O. / Alonso-Betanzos, A. et al. | 2007
- 1183
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Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant AnalysisYe, J. / Xiong, T. et al. | 2007
- 1205
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Worst-Case Analysis of Selective Sampling for Linear ClassificationCesa-Bianchi, N. / Gentile, C. / Zaniboni, L. et al. | 2007
- 1231
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Nonparametric Quantile EstimationTakeuchi, I. / Le, Q. V. / Sears, T. D. / Smola, A. J. et al. | 2007
- 1265
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The Interplay of Optimization and Machine Learning Research (Special Topic on Machine Learning and Optimization)Bennett, K. P. / Parrado-Hernandez, E. et al. | 2007
- 1283
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Second Order Cone Programming Approaches for Handling Missing and Uncertain Data (Special Topic on Machine Learning and Optimization)Shivaswamy, P. K. / Bhattacharyya, C. / Smola, A. J. et al. | 2007
- 1315
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Ensemble Pruning Via Semi-definite Programming (Special Topic on Machine Learning and Optimization)Zhang, Y. / Burer, S. / Street, W. N. et al. | 2007
- 1339
-
Linear Programs for Hypotheses Selection in Probabilistic Inference Models (Special Topic on Machine Learning and Optimization)Bergkvist, A. / Damaschke, P. / Luthi, M. et al. | 2007
- 1357
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Bayesian Network Learning with Parameter Constraints (Special Topic on Machine Learning and Optimization)Niculescu, R. S. / Mitchell, T. M. / Rao, R. B. et al. | 2007