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115
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SPEECH
2008
114views more  SPEECH 2008»
15 years 11 days ago
A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems
Although dialogue systems have been an area of research for decades, finding accurate ways of evaluating different systems is still a very active subfield since many leading metho...
Joel R. Tetreault, Diane J. Litman
88
Voted
IUI
2009
ACM
15 years 9 months ago
Fixing the program my computer learned: barriers for end users, challenges for the machine
The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it mat...
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Steph...
108
Voted
ICML
1999
IEEE
16 years 1 months ago
Using Reinforcement Learning to Spider the Web Efficiently
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...
Jason Rennie, Andrew McCallum
ICML
2006
IEEE
16 years 1 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
104
Voted
ICML
2010
IEEE
15 years 1 months ago
Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
Antoine Bordes, Nicolas Usunier, Jason Weston