Papers
172,654 papers found
Complete Identification Methods for the Causal Hierarchy
Ilya Shpitser, Judea Pearl
Consistency of Random Forests and Other Averaging Classifiers
Gérard Biau, Luc Devroye, Gábor Lugosi
Consistency of the Group Lasso and Multiple Kernel Learning
Francis R. Bach
Consistency of Trace Norm Minimization
Francis R. Bach
Continuously-adaptive discretization for message-passing algorithms
Michael Isard, John MacCormick, Kannan Achan
Controlling Shapes of Ensembles of Robots of Finite Size with Nonholonomic Constraints
Nathan Michael, Vijay Kumar
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
Andrew Smith, Hongyuan Zha, Xiao-ming Wu
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
Correlated Bigram LSA for Unsupervised Language Model Adaptation
Yik-cheung Tam, Tanja Schultz
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
Lukas Kroc, Ashish Sabharwal, Bart Selman
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Guangzhi Cao, Charles Bouman
CPG-based Control of a Turtle-like Underwater Vehicle
Keehong Seo, Soon-Jo Chung, Jean-Jacques Slotine
Cyclizing Clusters via Zeta Function of a Graph
Deli Zhao, Xiaoou Tang
Deep Learning with Kernel Regularization for Visual Recognition
Kai Yu, Wei Xu, Yihong Gong
Deflation Methods for Sparse PCA
Lester W. Mackey
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1
Klaus Wimmer, Marcel Stimberg, Robert Martin et al.
Dependent Dirichlet Process Spike Sorting
Jan Gasthaus, Frank Wood, Dilan Gorur et al.
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
Jeremy Lewi, Robert Butera, David M. Schneider et al.
Detection of Principle Directions in Unknown Environments for Autonomous Navigation
Dmitri Dolgov, Sebastian Thrun
Diffeomorphic Dimensionality Reduction
Christian Walder, Bernhard Schölkopf
Differentiable Sparse Coding
J. A. Bagnell, David M. Bradley
Dimensionality Reduction for Data in Multiple Feature Representations
Yen-yu Lin, Tyng-luh Liu, Chiou-shann Fuh
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
Discriminative Learning of Max-Sum Classifiers
Vojtěch Franc, Bogdan Savchynskyy