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JMLR
2010
191views more  JMLR 2010»
14 years 11 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
ML
2002
ACM
135views Machine Learning» more  ML 2002»
15 years 3 months ago
Bayesian Treed Models
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
Hugh A. Chipman, Edward I. George, Robert E. McCul...
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 11 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
ICASSP
2011
IEEE
14 years 7 months ago
Auto-regressive model based error concealment scheme for stereoscopic video coding
Stereoscopic video is an important manner for 3-D video applications, and robust stereoscopic video transmission has posed a technical challenge for stereoscopic video coding. In ...
Xinguang Xiang, Debin Zhao, Siwei Ma, Wen Gao
CORR
2012
Springer
187views Education» more  CORR 2012»
13 years 11 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä