Papers
Boosting Algorithms for Maximizing the Soft Margin
Gunnar Rätsch, Manfred K. Warmuth, Karen A. Glocer
Boosting the Area under the ROC Curve
Phil Long, Rocco Servedio
Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola, S.v.n. Vishwanathan
Catching Change-points with Lasso
Céline Levy-leduc, Zaïd Harchaoui
Catching Up Faster in Bayesian Model Selection and Model Averaging
Tim V. Erven, Steven D. Rooij, Peter Grünwald
Classification via Minimum Incremental Coding Length (MICL)
John Wright, Yangyu Tao, Zhouchen Lin et al.
Cluster Stability for Finite Samples
Ohad Shamir, Naftali Tishby
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Markus Weimer, Alexandros Karatzoglou, Quoc V. Le et al.
Collapsed Variational Inference for HDP
Yee W. Teh, Kenichi Kurihara, Max Welling
Collective Inference on Markov Models for Modeling Bird Migration
M.a. S. Elmohamed, Dexter Kozen, Daniel R. Sheldon
Colored Maximum Variance Unfolding
Le Song, Arthur Gretton, Karsten Borgwardt et al.
Combined discriminative and generative articulated pose and non-rigid shape estimation
Leonid Sigal, Alexandru Balan, Michael J. Black
Comparing Bayesian models for multisensory cue combination without mandatory integration
Ulrik Beierholm, Ladan Shams, Wei J. Ma et al.
Competition Adds Complexity
Judy Goldsmith, Martin Mundhenk
Compressed Regression
Shuheng Zhou, Larry Wasserman, John D. Lafferty
Computing Robust Counter-Strategies
Michael Johanson, Martin Zinkevich, Michael Bowling
Configuration Estimates Improve Pedestrian Finding
Duan Tran, David A. Forsyth
Congruence between model and human attention reveals unique signatures of critical visual events
Robert Peters, Laurent Itti
Consistent Minimization of Clustering Objective Functions
Ulrike V. Luxburg, Stefanie Jegelka, Michael Kaufmann et al.
Continuous Time Particle Filtering for fMRI
Lawrence Murray, Amos J. Storkey
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri et al.
Convex Clustering with Exemplar-Based Models
Danial Lashkari, Polina Golland
Convex Learning with Invariances
Choon H. Teo, Amir Globerson, Sam T. Roweis et al.
Convex Relaxations of Latent Variable Training
Yuhong Guo, Dale Schuurmans