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Journal of Machine Learning Research
2003, volume: 4, number:

  1. Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky
    On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1-15 [Journal]
  2. Vassilios Petridis, Vassilis G. Kaburlasos
    FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:17-37 [Journal]
  3. Stefan W. Christensen, Ian Sinclair, Philippa A. S. Reed
    Designing Committees of Models through Deliberate Weighting of Data Points. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:39-66 [Journal]
  4. Koji Tsuda, Shotaro Akaho, Kiyoshi Asai
    The em Algorithm for Kernel Matrix Completion with Auxiliary Data. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:67-81 [Journal]
  5. Bart Bakker, Tom Heskes
    Task Clustering and Gating for Bayesian Multitask Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:83-99 [Journal]
  6. Dmitry Gavinsky
    Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:101-117 [Journal]
  7. Lawrence K. Saul, Sam T. Roweis
    Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:119-155 [Journal]
  8. Nader H. Bshouty, Lynn Burroughs
    On the Proper Learning of Axis-Parallel Concepts. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:157-176 [Journal]
  9. Mary Elaine Califf, Raymond J. Mooney
    Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:177-210 [Journal]
  10. Claudia Perlich, Foster J. Provost, Jeffrey S. Simonoff
    Tree Induction vs. Logistic Regression: A Learning-Curve Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:211-255 [Journal]
  11. Craig Friedman, Sven Sandow
    Learning Probabilistic Models: An Expected Utility Maximization Approach. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:257-291 [Journal]
  12. Marek J. Druzdzel, Francisco Javier Díez
    Combining Knowledge from Different Sources in Causal Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:295-316 [Journal]
  13. Peter Haddawy, Vu A. Ha, Angelo C. Restificar, Benjamin Geisler, John Miyamoto
    Preference Elicitation via Theory Refinement. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:317-337 [Journal]
  14. Helge Langseth, Thomas D. Nielsen
    Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:339-368 [Journal]
  15. Ashwin Srinivasan, Ross D. King, Michael Bain
    An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:369-383 [Journal]
  16. Sandra Clara Gadanho
    Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:385-412 [Journal]
  17. David Page, Ashwin Srinivasan
    ILP: A Short Look Back and a Longer Look Forward. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:415-430 [Journal]
  18. Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag
    Relational Learning as Search in a Critical Region. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:431-463 [Journal]
  19. Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer
    Query Transformations for Improving the Efficiency of ILP Systems. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:465-491 [Journal]
  20. Vincent Claveau, Pascale Sébillot, Cécile Fabre, Pierrette Bouillon
    Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:493-525 [Journal]
  21. Robert Castelo, Tomás Kocka
    On Inclusion-Driven Learning of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:527-574 [Journal]
  22. Pierre Baldi, Gianluca Pollastri
    The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:575-602 [Journal]
  23. Orlando Cicchello, Stefan C. Kremer
    Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:603-632 [Journal]
  24. Rocco A. Servedio
    Smooth Boosting and Learning with Malicious Noise. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:633-648 [Journal]
  25. Shaul Markovitch, Asaf Shatil
    Speedup Learning for Repair-based Search by Identifying Redundant Steps. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:649-682 [Journal]
  26. Bertrand Clarke
    Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:683-712 [Journal]
  27. Shie Mannor, Ron Meir, Tong Zhang
    Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:713-741 [Journal]
  28. Christian d'Avignon, Donald Geman
    Tree-Structured Neural Decoding. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:743-754 [Journal]
  29. Ralf Herbrich, Thore Graepel
    Introduction to the Special Issue on Learning Theory. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:755-757 [Journal]
  30. Shahar Mendelson
    On the Performance of Kernel Classes. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:759-771 [Journal]
  31. Eiji Takimoto, Manfred K. Warmuth
    Path Kernels and Multiplicative Updates. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:773-818 [Journal]
  32. Chris Mesterharm
    Tracking Linear-threshold Concepts with Winnow. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:819-838 [Journal]
  33. Ron Meir, Tong Zhang
    Generalization Error Bounds for Bayesian Mixture Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:839-860 [Journal]
  34. Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis
    On the Rate of Convergence of Regularized Boosting Classifiers. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:861-894 [Journal]
  35. David A. McAllester, Luis E. Ortiz
    Concentration Inequalities for the Missing Mass and for Histogram Rule Error. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:895-911 [Journal]
  36. Lior Wolf, Amnon Shashua
    Learning over Sets using Kernel Principal Angles. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:913-931 [Journal]
  37. Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
    An Efficient Boosting Algorithm for Combining Preferences. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:933-969 [Journal]
  38. Marcus Hutter
    Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:971-1000 [Journal]
  39. Shi Zhong, Joydeep Ghosh
    A Unified Framework for Model-based Clustering. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1001-1037 [Journal]
  40. Junling Hu, Michael P. Wellman
    Nash Q-Learning for General-Sum Stochastic Games. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1039-1069 [Journal]
  41. Ingo Steinwart
    Sparseness of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1071-1105 [Journal]
  42. Michail G. Lagoudakis, Ronald Parr
    Least-Squares Policy Iteration. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1107-1149 [Journal]
  43. Dörthe Malzahn, Manfred Opper
    An Approximate Analytical Approach to Resampling Averages. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1151-1173 [Journal]
  44. Te-Won Lee, Jean-Francois Cardoso, Erkki Oja, Shun-ichi Amari
    Introduction to Special Issue on Independent Components Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1175-1176 [Journal]
  45. Jean-Francois Cardoso
    Dependence, Correlation and Gaussianity in Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1177-1203 [Journal]
  46. Francis R. Bach, Michael I. Jordan
    Beyond Independent Components: Trees and Clusters. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1205-1233 [Journal]
  47. Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton
    Energy-Based Models for Sparse Overcomplete Representations. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1235-1260 [Journal]
  48. Lucas C. Parra, Paul Sajda
    Blind Source Separation via Generalized Eigenvalue Decomposition. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1261-1269 [Journal]
  49. Erik G. Learned-Miller, John W. Fisher III
    ICA Using Spacings Estimates of Entropy. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1271-1295 [Journal]
  50. Luis B. Almeida
    MISEP -- Linear and Nonlinear ICA Based on Mutual Information. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1297-1318 [Journal]
  51. Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
    Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1319-1338 [Journal]
  52. Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
    A Multiscale Framework For Blind Separation of Linearly Mixed Signals. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1339-1363 [Journal]
  53. Gil-Jin Jang, Te-Won Lee
    A Maximum Likelihood Approach to Single-channel Source Separation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1365-1392 [Journal]
  54. Gleb Basalyga, Magnus Rattray
    Statistical Dynamics of On-line Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1393-1410 [Journal]
  55. Khurram Waheed, Fathi M. Salem
    Blind Source Recovery: A Framework in the State Space. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1411-1446 [Journal]
  56. Jaakko Särelä, Ricardo Vigário
    Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1447-1469 [Journal]
  57. Stéphane Bounkong, Borémi Toch, David Saad, David Lowe
    ICA for Watermarking Digital Images. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1471-1498 [Journal]
  58. Inna Stainvas, David Lowe
    A Generative Model for Separating Illumination and Reflectance from Images. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1499-1519 [Journal]
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