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CSL
2007
Springer
15 years 23 days ago
Partially observable Markov decision processes for spoken dialog systems
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Jason D. Williams, Steve Young
85
Voted
ICML
2003
IEEE
16 years 1 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
98
Voted
ALT
1998
Springer
15 years 5 months ago
Synthesizing Learners Tolerating Computable Noisy Data
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of recursive languages (by definition) ...
John Case, Sanjay Jain
ALT
2004
Springer
15 years 4 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
98
Voted
WSC
1997
15 years 2 months ago
AutoSched Tutorial
The AutoSchedTM finite capacity planning and scheduling tool helps you increase throughput, reduce in-process inventory, and increase equipment and personnel utilization. AutoSche...
Bill Lindler