Papers
184,605 papers found
A Family of Additive Online Algorithms for Category Ranking
Koby Crammer, Yoram Singer
A Generative Model for Separating Illumination and Reflectance from Images
Inna Stainvas, David Lowe
A Maximum Likelihood Approach to Single-channel Source Separation
Gil-Jin Jang, Te-Won Lee
A Multiscale Framework For Blind Separation of Linearly Mixed Signals
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
An Approximate Analytical Approach to Resampling Averages
Dörthe Malzahn, Manfred Opper
An Efficient Boosting Algorithm for Combining Preferences
Yoav Freund, Raj Iyer, Robert E. Schapire et al.
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming
Ashwin Srinivasan, Ross D. King, Michael E. Bain
A Neural Probabilistic Language Model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent et al.
An Introduction to Variable and Feature Selection
Isabelle Guyon, André Elisseeff
A Unified Framework for Model-based Clustering
Shi Zhong, Joydeep Ghosh
Benefitting from the Variables that Variable Selection Discards
Rich Caruana, Virginia R. de Sa
Beyond Independent Components: Trees and Clusters
Francis R. Bach, Michael I. Jordan
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling et al.
Blind Source Recovery: A Framework in the State Space
Khurram Waheed, Fathi M. Salem
Blind Source Separation via Generalized Eigenvalue Decomposition
Lucas Parra, Paul Sajda
Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction
Mary Elaine Califf, Raymond J. Mooney
Combining Knowledge from Different Sources in Causal Probabilistic Models
Marek J. Druzdzel, Francisco J. Díez
Concentration Inequalities for the Missing Mass and for Histogram Rule Error
David McAllester, Luis Ortiz
Dependence, Correlation and Gaussianity in Independent Component Analysis
Jean-François Cardoso
Designing Committees of Models through Deliberate Weighting of Data Points
Stefan W. Christensen, Ian Sinclair, Philippa A. S. Reed
Dimensionality Reduction via Sparse Support Vector Machines
Jinbo Bi, Kristin Bennett, Mark Embrechts et al.
Distributional Word Clusters vs. Words for Text Categorization
Ron Bekkerman, Ran El-Yaniv, Naftali Tishby et al.
Energy-Based Models for Sparse Overcomplete Representations
Yee Whye Teh, Max Welling, Simon Osindero et al.