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» Variable selection using neural-network models
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ICASSP
2011
IEEE
14 years 1 months ago
Prosodic control of unit-selection speech synthesis: A probabilistic approach
One problem in concatenative speech synthesis is how to incorporate prosodic factors in the unit selection. Imposing a predicted prosodic target is error-prone and does not benefi...
Christophe Veaux, Xavier Rodet
EMNLP
2007
14 years 11 months ago
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
This paper presents a syntax-driven approach to question answering, specifically the answer-sentence selection problem for short-answer questions. Rather than using syntactic fea...
Mengqiu Wang, Noah A. Smith, Teruko Mitamura
JSAC
2011
115views more  JSAC 2011»
14 years 4 months ago
Scalable Cross-Layer Wireless Access Control Using Multi-Carrier Burst Contention
Abstract—The increasing demand for wireless access in vehicular environments (WAVE) supporting a wide range of applications such as traffic safety, surveying, infotainment etc.,...
Bogdan Roman, Ian J. Wassell, Ioannis Chatzigeorgi...
JMLR
2010
129views more  JMLR 2010»
14 years 4 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
EPIA
2005
Springer
15 years 3 months ago
Adapting Peepholing to Regression Trees
This paper presents an adaptation of the peepholing method to regression trees. Peepholing was described as a means to overcome the major computational bottleneck of growing classi...
Luís Torgo, Joana Marques