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» Three Approaches to Probability Model Selection
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AROBOTS
1999
104views more  AROBOTS 1999»
13 years 7 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
ACL
2004
13 years 9 months ago
Multi-Engine Machine Translation with Voted Language Model
The paper describes a particular approach to multiengine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from mul...
Tadashi Nomoto
JSS
2000
123views more  JSS 2000»
13 years 7 months ago
Approaches for broadcasting temporal data in mobile computing systems
Rapid advances in mobile communication technology have spawned many new mobile applications. A key element in many of these systems is the need to distribute real-time information...
Kam-yiu Lam, Edward Chan, Joe Chun-Hung Yuen
ICML
2005
IEEE
14 years 8 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
NLPRS
2001
Springer
13 years 12 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce