- On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines
-
Aldebaro Klautau, Nikola Jevtić, Alon Orlitsky; 4(Apr):1-15, 2003.
[abs][pdf][ps.gz][ps] |
- FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples
-
Vassilios Petridis, Vassilis G. Kaburlasos; 4(Apr):17-37, 2003.
[abs][pdf][ps.gz][ps] |
- Designing Committees of Models through Deliberate Weighting of Data Points
-
Stefan W. Christensen, Ian Sinclair, Philippa A. S. Reed; 4(Apr):39-66, 2003.
[abs][pdf][ps.gz][ps] |
- The em Algorithm for Kernel Matrix Completion with Auxiliary Data
-
Koji Tsuda, Shotaro Akaho, Kiyoshi Asai; 4(May):67-81, 2003.
[abs][pdf][ps.gz][ps] |
- Task Clustering and Gating for Bayesian Multitask Learning
-
Bart Bakker, Tom Heskes; 4(May):83-99, 2003.
[abs][pdf][ps.gz][ps] [code] |
- Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
-
Dmitry Gavinsky; 4(May):101-117, 2003.
[abs][pdf][ps.gz][ps] |
- Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds
-
Lawrence K. Saul, Sam T. Roweis; 4(Jun):119-155, 2003.
[abs][pdf][ps.gz][ps] |
- On the Proper Learning of Axis-Parallel Concepts
-
Nader H. Bshouty, Lynn Burroughs; 4(Jun):157-176, 2003.
[abs][pdf][ps.gz][ps] |
- Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction
-
Mary Elaine Califf, Raymond J. Mooney; 4(Jun):177-210, 2003.
[abs][pdf][ps.gz][ps] |
- Tree Induction vs. Logistic Regression: A Learning-Curve Analysis
-
Claudia Perlich, Foster Provost, Jeffrey S. Simonoff; 4(Jun):211-255, 2003.
[abs][pdf][ps.gz][ps] |
- Learning Probabilistic Models: An Expected Utility Maximization Approach
-
Craig Friedman, Sven Sandow; 4(Jul):257-291, 2003.
[abs][pdf][ps.gz][ps]
|
- Introduction to the Special Issue on the Fusion of Domain Knowledge with Data for Decision Support
-
Richard Dybowski, Kathryn B. Laskey, James W. Myers, Simon Parsons; 4(Jul):293-294, 2003.
[abs][pdf][ps.gz][ps] |
- Combining Knowledge from Different Sources in Causal Probabilistic Models
-
Marek J. Druzdzel, Francisco J. Díez; 4(Jul):295-316, 2003.
[abs][pdf][ps.gz][ps] |
- Preference Elicitation via Theory Refinement
-
Peter Haddawy, Vu Ha, Angelo Restificar, Benjamin Geisler, John Miyamoto; 4(Jul):317-337, 2003.
[abs][pdf][ps.gz][ps] |
- Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains
-
Helge Langseth, Thomas D. Nielsen; 4(Jul):339-368, 2003.
[abs][pdf][ps.gz][ps] |
- An Empirical Study of the Use of Relevance Information in Inductive Logic Programming
-
Ashwin Srinivasan, Ross D. King, Michael E. Bain; 4(Jul):369-383, 2003.
[abs][pdf][ps.gz][ps]
revision: Aug 2003
[abs][pdf][ps.gz][ps]
|
- Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
-
Sandra Clara Gadanho; 4(Jul):385-412, 2003.
[abs][pdf][ps.gz][ps] |
- Introduction to the Special Issue on Inductive Logic Programming
-
James Cussens, Alan M. Frisch; 4(Aug):413-414, 2003.
[abs][pdf][ps.gz][ps] |
- ILP: A Short Look Back and a Longer Look Forward
-
David Page, Ashwin Srinivasan; 4(Aug):415-430, 2003.
[abs][pdf][ps.gz][ps] |
- Relational Learning as Search in a Critical Region
-
Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag; 4(Aug):431-463, 2003.
[abs][pdf][ps.gz][ps] |
- Query Transformations for Improving the Efficiency of ILP Systems
-
Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer; 4(Aug):465-491, 2003.
[abs][pdf][ps.gz][ps] |
- Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming
-
Vincent Claveau, Pascale Sébillot, Cécile Fabre, Pierrette Bouillon; 4(Aug):493-525, 2003.
[abs][pdf][ps.gz][ps] |
- On Inclusion-Driven Learning of Bayesian Networks
-
Robert Castelo, Tomás Kocka; 4(Sep):527-574, 2003.
[abs][pdf][ps.gz][ps] |
- The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem
-
Pierre Baldi, Gianluca Pollastri; 4(Sep):575-602, 2003.
[abs][pdf][ps.gz][ps] |
- Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results
-
Orlando Cicchello, Stefan C. Kremer; 4(Oct):603-632, 2003.
[abs][pdf][ps.gz][ps] |
- Smooth Boosting and Learning with Malicious Noise
-
Rocco A. Servedio; 4(Sep):633-648, 2003.
[abs][pdf][ps.gz][ps] |
- Speedup Learning for Repair-based Search by Identifying Redundant Steps
-
Shaul Markovitch, Asaf Shatil; 4(Sep):649-682, 2003.
[abs][pdf][ps.gz][ps] |
- Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored
-
Bertrand Clarke; 4(Oct):683-712, 2003.
[abs][pdf][ps.gz][ps]
|
- Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity
-
Shie Mannor, Ron Meir, Tong Zhang; 4(Oct):713-742, 2003.
[abs][pdf][ps.gz][ps]
|
- Tree-Structured Neural Decoding
-
Christian d'Avignon, Donald Geman; 4(Oct):743-754, 2003.
[abs][pdf][ps.gz][ps]
|
- Introduction to the Special Issue on Learning Theory
-
Ralf Herbrich, Thore Graepel; 4(Oct):755-757, 2003.
[abs][pdf][ps.gz][ps]
|
- On the Performance of Kernel Classes
-
Shahar Mendelson; 4(Oct):759-771, 2003.
[abs][pdf][ps.gz][ps]
|
- Path Kernels and Multiplicative Updates
-
Eiji Takimoto, Manfred K. Warmuth; 4(Oct):773-818, 2003.
[abs][pdf][ps.gz][ps]
|
- Tracking Linear-threshold Concepts with Winnow
-
Chris Mesterharm; 4(Oct):819-838, 2003.
[abs][pdf][ps.gz][ps]
|
- Generalization Error Bounds for Bayesian Mixture Algorithms
-
Ron Meir, Tong Zhang; 4(Oct):839-860, 2003.
[abs][pdf][ps.gz][ps]
|
- On the Rate of Convergence of Regularized Boosting Classifiers
-
Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis; 4(Oct):861-894, 2003.
[abs][pdf][ps.gz][ps]
|
- Concentration Inequalities for the Missing Mass and for Histogram Rule Error
-
David McAllester, Luis Ortiz; 4(Oct):895-911, 2003.
[abs][pdf][ps.gz][ps]
|
- Learning over Sets using Kernel Principal Angles (Kernel Machines Section)
-
Lior Wolf, Amnon Shashua; 4(Oct):913-931, 2003.
[abs][pdf][ps.gz][ps]
|
- An Efficient Boosting Algorithm for Combining Preferences
-
Yoav Freund, Raj Iyer, Robert E. Schapire, Yoram Singer; 4(Nov):933-969, 2003.
[abs][pdf][ps.gz][ps]
|
- Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet
-
Marcus Hutter; 4(Nov):971-1000, 2003.
[abs][pdf][ps.gz][ps]
|
- A Unified Framework for Model-based Clustering
-
Shi Zhong, Joydeep Ghosh; 4(Nov):1001-1037, 2003.
[abs][pdf][ps.gz][ps]
|
- Nash Q-Learning for General-Sum Stochastic Games
-
Junling Hu, Michael P. Wellman; 4(Nov):1039-1069, 2003.
[abs][pdf][ps.gz][ps]
|
- Sparseness of Support Vector Machines
-
Ingo Steinwart; 4(Nov):1071-1105, 2003.
[abs][pdf][ps.gz][ps]
|
- Least-Squares Policy Iteration
-
Michail G. Lagoudakis, Ronald Parr; 4(Dec):1107-1149, 2003.
[abs][pdf][ps.gz][ps]
|
- An Approximate Analytical Approach to Resampling Averages (Kernel Machines Section)
-
Dörthe Malzahn, Manfred Opper; 4(Dec):1151-1173, 2003.
[abs][pdf][ps.gz][ps]
|
- Introduction to Special Issue on Independent Components Analysis
-
Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari; 4(Dec):1175-1176, 2003.
[abs]][pdf][ps.gz][ps]
|
- Dependence, Correlation and Gaussianity in Independent Component Analysis
-
Jean-François Cardoso; 4(Dec):1177-1203, 2003.
[abs][pdf][ps.gz][ps]
|
- Beyond Independent Components: Trees and Clusters
-
Francis R. Bach, Michael I. Jordan; 4(Dec):1205-1233, 2003.
[abs][pdf][ps.gz][ps]
|
- Energy-Based Models for Sparse Overcomplete Representations
-
Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton; 4(Dec):1235-1260, 2003.
[abs][pdf][ps.gz][ps]
- Blind Source Separation via Generalized Eigenvalue Decomposition
-
Lucas Parra, Paul Sajda; 4(Dec):1261-1269, 2003.
[abs][pdf][ps.gz][ps]
|
- ICA Using Spacings Estimates of Entropy
-
Erik G. Learned-Miller, John W. Fisher III; 4(Dec):1271-1295, 2003.
[abs][pdf][ps.gz][ps]
|
- MISEP -- Linear and Nonlinear ICA Based on Mutual Information
-
Luís B. Almeida; 4(Dec):1297-1318, 2003.
[abs][pdf][ps.gz][ps]
|
- Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
-
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller; 4(Dec):1319-1338, 2003.
[abs][pdf][ps.gz][ps]
|
- A Multiscale Framework For Blind Separation of Linearly Mixed Signals
-
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi; 4(Dec):1339-1363, 2003.
[abs][pdf][ps.gz][ps]
|
- A Maximum Likelihood Approach to Single-channel Source Separation
-
Gil-Jin Jang, Te-Won Lee; 4(Dec):1365-1392, 2003.
[abs][pdf][ps.gz][ps]
|
- Statistical Dynamics of On-line Independent Component Analysis
-
Gleb Basalyga, Magnus Rattray; 4(Dec):1393-1410, 2003.
[abs][pdf][ps.gz][ps]
|
- Blind Source Recovery: A Framework in the State Space
-
Khurram Waheed, Fathi M. Salem; 4(Dec):1411-1446, 2003.
[abs][pdf][ps.gz][ps]
|
- Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
-
Jaakko Särelä, Ricardo Vigário; 4(Dec):1447-1469, 2003.
[abs][pdf][ps.gz][ps]
|
- ICA for Watermarking Digital Images
-
Stéphane Bounkong, Borémi Toch, David Saad, David Lowe; 4(Dec):1471-1498, 2003.
[abs][pdf][ps.gz][ps]
|
- A Generative Model for Separating Illumination and Reflectance from Images
-
Inna Stainvas, David Lowe; 4(Dec):1499-1519, 2003.
[abs][pdf][ps.gz][ps]
|
