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BMCBI
2008
139views more  BMCBI 2008»
14 years 12 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
CSL
2010
Springer
14 years 12 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
CSL
2010
Springer
14 years 12 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
CSL
2007
Springer
14 years 12 months ago
Soft indexing of speech content for search in spoken documents
The paper presents the Position Specific Posterior Lattice (PSPL), a novel lossy representation of automatic speech recognition lattices that naturally lends itself to efficient ...
Ciprian Chelba, Jorge Silva, Alex Acero
JAIR
2002
95views more  JAIR 2002»
14 years 11 months ago
A Critical Assessment of Benchmark Comparison in Planning
Recent trends in planning research have led to empirical comparison becoming commonplace. The eld has started to settle into a methodology for such comparisons, which for obvious ...
Adele E. Howe, Eric Dahlman