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87
Voted
ICML
2009
IEEE
16 years 1 months ago
Polyhedral outer approximations with application to natural language parsing
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
André F. T. Martins, Noah A. Smith, Eric P....
100
Voted
ICML
2008
IEEE
16 years 1 months ago
Semi-supervised learning of compact document representations with deep networks
Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
Marc'Aurelio Ranzato, Martin Szummer
118
Voted
ICML
2000
IEEE
16 years 1 months ago
Convergence Problems of General-Sum Multiagent Reinforcement Learning
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
Michael H. Bowling
106
Voted
ICML
1995
IEEE
16 years 1 months ago
Stable Function Approximation in Dynamic Programming
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
Geoffrey J. Gordon
ICSE
2003
IEEE-ACM
16 years 26 days ago
A Compositional Formalization of Connector Wrappers
Increasingly systems are composed of parts: software components, and the interaction mechanisms (connectors) that enable them to communicate. When assembling systems from independ...
Bridget Spitznagel, David Garlan