Papers
12,718 papers found
Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
Max-margin classification of incomplete data
Gal Chechik, Geremy Heitz, Gal Elidan et al.
Unsupervised Regression with Applications to Nonlinear System Identification
Ali Rahimi, Ben Recht
FilterBoost: Regression and Classification on Large Datasets
Joseph K. Bradley, Robert E. Schapire
Distributed Inference for Latent Dirichlet Allocation
David Newman, Padhraic Smyth, Max Welling et al.
Classification via Minimum Incremental Coding Length (MICL)
John Wright, Yangyu Tao, Zhouchen Lin et al.
GRIFT: A graphical model for inferring visual classification features from human data
Michael Ross, Andrew Cohen
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Learning Monotonic Transformations for Classification
Andrew Howard, Tony Jebara
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl, Michael L. Littman
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
Ping Li, Qiang Wu, Christopher J. Burges
Support Vector Machine Classification with Indefinite Kernels
Ronny Luss, Alexandre D'aspremont
Probabilistic Matrix Factorization
Andriy Mnih, Ruslan Salakhutdinov
Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Guestrin, Leonidas Guibas
Fitted Q-iteration in continuous action-space MDPs
András Antos, Csaba Szepesvári, Rémi Munos
Blind channel identification for speech dereverberation using l1-norm sparse learning
Yuanqing Lin, Jingdong Chen, Youngmoo Kim et al.
Spatial Latent Dirichlet Allocation
Xiaogang Wang, Eric Grimson
Hierarchical Penalization
Marie Szafranski, Yves Grandvalet, Pierre Morizet-mahoudeaux
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz, Stephen Gould, Ashutosh Saxena et al.
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock, Frank Nielsen
Performance analysis for L\_2 kernel classification
Jooseuk Kim, Clayton Scott
Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango et al.
ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky, Jacob Goldberger
Generative versus discriminative training of RBMs for classification of fMRI images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small et al.