Papers
10,712 papers found
Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon et al.
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein
Global Ranking Using Continuous Conditional Random Fields
Tao Qin, Tie-yan Liu, Xu-dong Zhang et al.
Multiscale Random Fields with Application to Contour Grouping
Longin J. Latecki, Chengen Lu, Marc Sobel et al.
Human Active Learning
Rui M. Castro, Charles Kalish, Robert Nowak et al.
One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li, Kenneth W. Church, Trevor J. Hastie
Potential-Based Agnostic Boosting
Varun Kanade, Adam Kalai
On Stochastic and Worst-case Models for Investing
Elad Hazan, Satyen Kale
Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan et al.
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
Roy Anati, Kostas Daniilidis
AUC optimization and the two-sample problem
Nicolas Vayatis, Marine Depecker, Stéphan J. Clémençcon
Streaming k-means approximation
Nir Ailon, Ragesh Jaiswal, Claire Monteleoni
Quantification and the language of thought
Charles Kemp
On Learning Rotations
Raman Arora
Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley et al.
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
Zhi Yang, Qi Zhao, Edward Keefer et al.
Kernels and learning curves for Gaussian process regression on random graphs
Peter Sollich, Matthew Urry, Camille Coti
Abstraction and Relational learning
Charles Kemp, Alan Jern
Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda et al.
Regularized Distance Metric Learning:Theory and Algorithm
Rong Jin, Shijun Wang, Yang Zhou
Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao, Daphne Koller
Statistical Consistency of Top-k Ranking
Fen Xia, Tie-yan Liu, Hang Li
Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao et al.
Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Pavel Laskov et al.
Learning to Explore and Exploit in POMDPs
Chenghui Cai, Xuejun Liao, Lawrence Carin