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» On the Complexity of Model Expansion
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TASLP
2008
124views more  TASLP 2008»
13 years 10 months ago
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
Cédric Févotte, Bruno Torrésa...
ECIR
2007
Springer
13 years 11 months ago
Probabilistic Models for Expert Finding
A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilis...
Hui Fang, ChengXiang Zhai
EMNLP
2007
13 years 11 months ago
Bayesian Document Generative Model with Explicit Multiple Topics
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
Issei Sato, Hiroshi Nakagawa
ICLP
2001
Springer
14 years 2 months ago
Fixed-Parameter Complexity of Semantics for Logic Programs
In the paper we establish the xed-parameter complexity for several parameterized decision problems involving models, supported models and stable models of logic programs. We also e...
Zbigniew Lonc, Miroslaw Truszczynski
CSL
2006
Springer
13 years 10 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...