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» SpAM: Sparse Additive Models
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ACL
2010
13 years 5 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
TSMC
2010
13 years 2 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
ICML
2007
IEEE
14 years 8 months ago
Most likely heteroscedastic Gaussian process regression
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
Kristian Kersting, Christian Plagemann, Patrick Pf...
ICANN
2009
Springer
14 years 11 hour ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
IJCNLP
2005
Springer
14 years 27 days ago
Improving Korean Speech Acts Analysis by Using Shrinkage and Discourse Stack
Abstract. A speech act is a linguistic action intended by a speaker. It is important to analyze the speech act for the dialogue understanding system because the speech act of an ut...
Kyungsun Kim, Youngjoong Ko, Jungyun Seo