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ICPR
2008
IEEE
14 years 8 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song
JMLR
2012
11 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,...
ICAS
2009
IEEE
139views Robotics» more  ICAS 2009»
14 years 1 months ago
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
Javier Alonso, Jordi Torres, Ricard Gavaldà
AROBOTS
1998
100views more  AROBOTS 1998»
13 years 6 months ago
Interleaving Planning and Robot Execution for Asynchronous User Requests
Rogue is an architecture built on a real robot which provides algorithms for the integration of highlevel planning, low-level robotic execution, and learning. Rogue addresses succ...
Karen Zita Haigh, Manuela M. Veloso
ICCV
2011
IEEE
12 years 7 months ago
Parsing Video Events with Goal inference and Intent Prediction
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
Mingtao Pei, School of Computer Science, Yunde Jia...