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Publication search results
found 91 matches
- 2007
- Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro:
Minimax Regret Classifier for Imprecise Class Distributions. J. Mach. Learn. Res. 8: 103-130 (2007) - Marta Arias, Roni Khardon, Jérôme Maloberti:
Learning Horn Expressions with LOGAN-H. J. Mach. Learn. Res. 8: 549-587 (2007) - Jean-Yves Audibert, Olivier Bousquet:
Combining PAC-Bayesian and Generic Chaining Bounds. J. Mach. Learn. Res. 8: 863-889 (2007) - Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha:
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. J. Mach. Learn. Res. 8: 1919-1986 (2007) - Peter L. Bartlett, Ambuj Tewari:
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results. J. Mach. Learn. Res. 8: 775-790 (2007) - Peter L. Bartlett, Mikhail Traskin:
AdaBoost is Consistent. J. Mach. Learn. Res. 8: 2347-2368 (2007) - Michael Biehl, Anarta Ghosh, Barbara Hammer:
Dynamics and Generalization Ability of LVQ Algorithms. J. Mach. Learn. Res. 8: 323-360 (2007) - Avrim Blum, Yishay Mansour:
From External to Internal Regret. J. Mach. Learn. Res. 8: 1307-1324 (2007) - Marc Boullé:
Compression-Based Averaging of Selective Naive Bayes Classifiers. J. Mach. Learn. Res. 8: 1659-1685 (2007) - Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Learning to Classify Ordinal Data: The Data Replication Method. J. Mach. Learn. Res. 8: 1393-1429 (2007) - Gavin C. Cawley, Nicola L. C. Talbot:
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. J. Mach. Learn. Res. 8: 841-861 (2007) - Shantanu Chakrabartty, Gert Cauwenberghs:
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression. J. Mach. Learn. Res. 8: 813-839 (2007) - Aggelos Chariatis:
Very Fast Online Learning of Highly Non Linear Problems. J. Mach. Learn. Res. 8: 2017-2045 (2007) - Manu Chhabra, Robert A. Jacobs, Daniel Stefankovic:
Behavioral Shaping for Geometric Concepts. J. Mach. Learn. Res. 8: 1835-1865 (2007) - Alexander Clark, Rémi Eyraud:
Polynomial Identification in the Limit of Substitutable Context-free Languages. J. Mach. Learn. Res. 8: 1725-1745 (2007) - Stéphan Clémençon, Nicolas Vayatis:
Ranking the Best Instances. J. Mach. Learn. Res. 8: 2671-2699 (2007) - Sanjoy Dasgupta, Leonard J. Schulman:
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians. J. Mach. Learn. Res. 8: 203-226 (2007) - Ofer Dekel, Philip M. Long, Yoram Singer:
Online Learning of Multiple Tasks with a Shared Loss. J. Mach. Learn. Res. 8: 2233-2264 (2007) - Francesco Dinuzzo, Marta Neve, Giuseppe De Nicolao, Ugo Pietro Gianazza:
On the Representer Theorem and Equivalent Degrees of Freedom of SVR. J. Mach. Learn. Res. 8: 2467-2495 (2007) - Miroslav Dudík, Steven J. Phillips, Robert E. Schapire:
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling. J. Mach. Learn. Res. 8: 1217-1260 (2007) - Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra:
Bilinear Discriminant Component Analysis. J. Mach. Learn. Res. 8: 1097-1111 (2007) - Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan:
Separating Models of Learning from Correlated and Uncorrelated Data. J. Mach. Learn. Res. 8: 277-290 (2007) - Gal Elidan, Iftach Nachman, Nir Friedman:
"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. J. Mach. Learn. Res. 8: 1799-1833 (2007) - Saher Esmeir, Shaul Markovitch:
Anytime Learning of Decision Trees. J. Mach. Learn. Res. 8: 891-933 (2007) - Vitaly Feldman:
Attribute-Efficient and Non-adaptive Learning of Parities and DNF Expressions. J. Mach. Learn. Res. 8: 1431-1460 (2007) - Kenji Fukumizu, Francis R. Bach, Arthur Gretton:
Statistical Consistency of Kernel Canonical Correlation Analysis. J. Mach. Learn. Res. 8: 361-383 (2007) - Evgeniy Gabrilovich, Shaul Markovitch:
Harnessing the Expertise of 70, 000 Human Editors: Knowledge-Based Feature Generation for Text Categorization. J. Mach. Learn. Res. 8: 2297-2345 (2007) - Sébastien Gadat, Laurent Younes:
A Stochastic Algorithm for Feature Selection in Pattern Recognition. J. Mach. Learn. Res. 8: 509-547 (2007) - Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe:
Nonlinear Boosting Projections for Ensemble Construction. J. Mach. Learn. Res. 8: 1-33 (2007) - Mohammad Ghavamzadeh, Sridhar Mahadevan:
Hierarchical Average Reward Reinforcement Learning. J. Mach. Learn. Res. 8: 2629-2669 (2007)
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