Papers
176,624 papers found
Prior Data and Kernel Conditional Random Fields for Obstacle Detection
Carlos Vallespi-Gonzalez, Tony Stentz
Privacy-preserving logistic regression
Kamalika Chaudhuri, Claire Monteleoni
Probabilistic Characterization of Random Decision Trees
Amit Dhurandhar, Alin Dobra
Probabilistic detection of short events, with application to critical care monitoring
Norm Aleks, Stuart Russell, Michael G. Madden et al.
Probabilistic Models of Object Geometry for Grasp Planning
Jared Glover, Daniela Rus, Nicholas Roy
Proofs and Experiments in Scalable, Near-Optimal Search by Multiple Robots
Geoffrey Hollinger, Sanjiv Singh
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
Chunhua Shen, Alan Welsh, Lei Wang
Psychiatry: Insights into depression through normative decision-making models
Quentin J. Huys, Joshua Vogelstein, Peter Dayan
QUIC-SVD: Fast SVD Using Cosine Trees
Michael P. Holmes, Jr. Isbell, Charles Lee et al.
Rademacher Complexity Bounds for Non-I.I.D. Processes
Mehryar Mohri, Afshin Rostamizadeh
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K. Warmuth, Dima Kuzmin
Ranking Categorical Features Using Generalization Properties
Sivan Sabato, Shai Shalev-Shwartz
Ranking Individuals by Group Comparisons
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
Recursive Segmentation and Recognition Templates for 2D Parsing
Leo Zhu, Yuanhao Chen, Yuan Lin et al.
Reducing statistical dependencies in natural signals using radial Gaussianization
Siwei Lyu, Eero P. Simoncelli
Regularization on Graphs with Function-adapted Diffusion Processes
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
Regularized Co-Clustering with Dual Supervision
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic
Regularized Learning with Networks of Features
Ted Sandler, John Blitzer, Partha P. Talukdar et al.
Regularized Policy Iteration
Amir M. Farahmand, Mohammad Ghavamzadeh, Shie Mannor et al.
Relative Margin Machines
Tony Jebara, Pannagadatta K. Shivaswamy
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee, David M. Blei
Resolution Limits of Sparse Coding in High Dimensions
Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher
Robust Kernel Principal Component Analysis
Minh H. Nguyen, Fernando Torre