Papers
23,480 papers found
Learning Structural Equation Models for fMRI
Enrico Simonotto, Heather Whalley, Stephen Lawrie et al.
Sparse Representation for Signal Classification
Ke Huang, Selin Aviyente
An Information Theoretic Framework for Eukaryotic Gradient Sensing
Joseph M. Kimmel, Richard M. Salter, Peter J. Thomas
Fast Computation of Graph Kernels
Karsten Borgwardt, Nicol N. Schraudolph, S.v.n. Vishwanathan
A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain, Alexandre Lacasse, François Laviolette et al.
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, Hongyuan Zha, Tong Zhang et al.
A general agnostic active learning algorithm
Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni
The Generalized FITC Approximation
Andrew Naish-guzman, Sean Holden
Combined discriminative and generative articulated pose and non-rigid shape estimation
Leonid Sigal, Alexandru Balan, Michael J. Black
A probabilistic model for generating realistic lip movements from speech
Gwenn Englebienne, Tim Cootes, Magnus Rattray
Automatic Generation of Social Tags for Music Recommendation
Douglas Eck, Paul Lamere, Thierry Bertin-mahieux et al.
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.
Object Recognition by Scene Alignment
Bryan Russell, Antonio Torralba, Ce Liu et al.
Spatial Latent Dirichlet Allocation
Xiaogang Wang, Eric Grimson
Hierarchical Penalization
Marie Szafranski, Yves Grandvalet, Pierre Morizet-mahoudeaux
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock, Frank Nielsen
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango et al.
Generative versus discriminative training of RBMs for classification of fMRI images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small et al.
Sequential effects: Superstition or rational behavior?
Angela J. Yu, Jonathan D. Cohen
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
Chunhua Shen, Alan Welsh, Lei Wang
Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Choon H. Teo et al.
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall, Hynek Hermansky, Alon Zweig et al.