Papers
172,654 papers found
Chained Boosting
Christian R. Shelton, Wesley Huie, Kin F. Kan
Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn, Carsten Rother
Clustering Under Prior Knowledge with Application to Image Segmentation
Dong S. Cheng, Vittorio Murino, Mário Figueiredo
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
Jelle R. Kok, Nikos Vlassis
Combining causal and similarity-based reasoning
Charles Kemp, Patrick Shafto, Allison Berke et al.
Comparative Gene Prediction using Conditional Random Fields
Jade P. Vinson, David Decaprio, Matthew D. Pearson et al.
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Konrad Rieck, Pavel Laskov, Sören Sonnenburg
Computing Smooth Feedback Plans Over Cylindrical Algebraic Decompositions
S. Lindemann, S. LaValle
Conditional mean field
Peter Carbonetto, Nando D. Freitas
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Ping Li, Kenneth W. Church, Trevor J. Hastie
Considering Cost Asymmetry in Learning Classifiers
Francis R. Bach, David Heckerman, Eric Horvitz
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
Régis Vert, Jean-Philippe Vert
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
Di-Rong Chen, Tao Sun
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
Context Effects in Category Learning: An Investigation of Four Probabilistic Models
Michael Mozer, Michael Shettel, Michael P. Holmes
Convergence of Laplacian Eigenmaps
Mikhail Belkin, Partha Niyogi
Convex Repeated Games and Fenchel Duality
Shai Shalev-shwartz, Yoram Singer
Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang, Arthur Gretton, Karsten Borgwardt et al.
Data Integration for Classification Problems Employing Gaussian Process Priors
Mark Girolami, Mingjun Zhong
Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann
Design Methodologies for Central Pattern Generators: An Application to Crawling Humanoids
L. Righetti, A. Ijspeert
Detecting Humans via Their Pose
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
Differential Entropic Clustering of Multivariate Gaussians
Jason V. Davis, Inderjit S. Dhillon