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» Approximate Expectation Maximization
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158
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JMLR
2011
105views more  JMLR 2011»
14 years 10 months ago
Posterior Sparsity in Unsupervised Dependency Parsing
A strong inductive bias is essential in unsupervised grammar induction. In this paper, we explore a particular sparsity bias in dependency grammars that encourages a small number ...
Jennifer Gillenwater, Kuzman Ganchev, João ...
TIT
2010
122views Education» more  TIT 2010»
14 years 10 months ago
Biological information as set-based complexity
The significant and meaningful fraction of all the potential information residing in the molecules and structures of living systems is unknown. Sets of random molecular sequences o...
David J. Galas, Matti Nykter, Gregory W. Carter, N...
CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 7 months ago
Close the Gaps: A Learning-while-Doing Algorithm for a Class of Single-Product Revenue Management Problems
In this work, we consider a retailer selling a single product with limited on-hand inventory over a finite selling season. Customer demand arrives according to a Poisson process,...
Zizhuo Wang, Shiming Deng, Yinyu Ye
166
Voted
CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 7 months ago
I Don't Want to Think About it Now:Decision Theory With Costly Computation
Computation plays a major role in decision making. Even if an agent is willing to ascribe a probability to all states and a utility to all outcomes, and maximize expected utility,...
Joseph Y. Halpern, Rafael Pass
ICASSP
2011
IEEE
14 years 7 months ago
Integrating binaural cues and blind source separation method for separating reverberant speech mixtures
This paper presents a new method for reverberant speech separation, based on the combination of binaural cues and blind source separation (BSS) for the automatic classification o...
Atiyeh Alinaghi, Wenwu Wang, Philip J. B. Jackson