Papers
184,605 papers found
Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan et al.
Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang et al.
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
Tao Hu, Anthony Leonardo, Dmitri B. Chklovskii
Refinement of Reproducing Kernels
Yuesheng Xu, Haizhang Zhang
Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao, Daphne Koller
Regularized Distance Metric Learning:Theory and Algorithm
Rong Jin, Shijun Wang, Yang Zhou
Reinforcement Learning in Finite MDPs: PAC Analysis
Alexander L. Strehl, Lihong Li, Michael L. Littman
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
Stefan Klampfl, Wolfgang Maass
Replicated Softmax: an Undirected Topic Model
Geoffrey E. Hinton, Ruslan Salakhutdinov
Reproducing Kernel Banach Spaces for Machine Learning
Haizhang Zhang, Yuesheng Xu, Jun Zhang
Rethinking LDA: Why Priors Matter
Hanna M. Wallach, David M. Mimno, Andrew McCallum
Riffled Independence for Ranked Data
Jonathan Huang, Carlos Guestrin
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments
Brian Tanner, Adam White
Robustness and Regularization of Support Vector Machines
Huan Xu, Constantine Caramanis, Shie Mannor
Robustness of the Unscented Kalman filter for state and parameter estimation in an elastic transmission
E. Naerum, H. Hawkeye King and B. Hannaford
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
John Wright, Arvind Ganesh, Shankar Rao et al.
Robust Process Discovery with Artificial Negative Events
Stijn Goedertier, David Martens, Jan Vanthienen et al.
Robust Value Function Approximation Using Bilinear Programming
Marek Petrik, Shlomo Zilberstein
Robust visual homing with landmark angles
J. Lim and N. Barnes
Rut detection and following for autonomous ground vehicles
C. Ordonez, O. Y. Chuy Jr. and E. G. Collins Jr.
Scalable Collaborative Filtering Approaches for Large Recommender Systems
Gábor Takács, István Pilászy, Bottyán Németh et al.
Segmenting Scenes by Matching Image Composites
Bryan Russell, Alyosha Efros, Josef Sivic et al.
Semi-Supervised Learning in Gigantic Image Collections
Rob Fergus, Yair Weiss, Antonio Torralba
Semi-supervised Learning using Sparse Eigenfunction Bases
Kaushik Sinha, Mikhail Belkin