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EMNLP
2009
15 years 2 months ago
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction
Tree based translation models are a compelling means of integrating linguistic information into machine translation. Syntax can inform lexical selection and reordering choices and...
Trevor Cohn, Phil Blunsom
CAISE
2010
Springer
14 years 12 months ago
Configuring the Variability of Business Process Models Using Non-Functional Requirements
The existence of variations in the organizational environment makes the configuration of business process models a complex activity, even for experienced business analysts. The inc...
Emanuel Santos, João Pimentel, Jaelson Cast...
JMLR
2010
155views more  JMLR 2010»
14 years 11 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
126
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ICASSP
2011
IEEE
14 years 8 months ago
Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling
This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spe...
Katsutoshi Itoyama, Masataka Goto, Kazunori Komata...
ACL
2012
13 years 7 months ago
A Topic Similarity Model for Hierarchical Phrase-based Translation
Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to p...
Xinyan Xiao, Deyi Xiong, Min Zhang, Qun Liu, Shoux...