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» The Case for Collaborative Programming
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JMLR
2012
13 years 9 months ago
Contextual Bandit Learning with Predictable Rewards
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
JMLR
2012
13 years 9 months ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss
JMLR
2012
13 years 9 months ago
Max-Margin Min-Entropy Models
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...
ECOOP
2012
Springer
13 years 9 months ago
Enhancing JavaScript with Transactions
Abstract. Transcript is a system that enhances JavaScript with support for transactions. Hosting Web applications can use transactions to demarcate regions that contain untrusted g...
Mohan Dhawan, Chung-chieh Shan, Vinod Ganapathy
TON
2012
13 years 9 months ago
Opportunistic Spectrum Access in Multiple-Primary-User Environments Under the Packet Collision Constraint
—Cognitive Radio (CR) technology has great potential to alleviate spectrum scarcity in wireless communications. It allows secondary users (SUs) to opportunistically access spectr...
Eric Jung, Xin Liu