Papers
21,849 papers found
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
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
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
Detecting Humans via Their Pose
Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
Differential Entropic Clustering of Multivariate Gaussians
Jason V. Davis, Inderjit S. Dhillon
Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel, Tobias Scheffer
Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar et al.
Doubly Stochastic Normalization for Spectral Clustering
Ron Zass, Amnon Shashua
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches
Le Lu, Gregory D. Hager
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
Gediminas Lukšys, Jérémie Knüsel, Denis Sheynikhovich et al.
Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'aurelio Ranzato, Christopher Poultney, Sumit Chopra et al.
Efficient Methods for Privacy Preserving Face Detection
Shai Avidan, Moshe Butman
Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Rajat Raina et al.
Efficient Structure Learning of Markov Networks using $L_1$-Regularization
Su-in Lee, Varun Ganapathi, Daphne Koller
Emergence of conjunctive visual features by quadratic independent component analysis
J.t. Lindgren, Aapo Hyvärinen