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ICASSP
2011
IEEE
12 years 8 months ago
An extension of the ICA model using latent variables
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
Selwa Rafi, Marc Castella, Wojciech Pieczynski
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 1 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
13 years 8 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
ECML
2005
Springer
13 years 10 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
CIKM
2007
Springer
13 years 10 months ago
Extending query translation to cross-language query expansion with markov chain models
Dictionary-based approaches to query translation have been widely used in Cross-Language Information Retrieval (CLIR) experiments. Using these approaches, translation has been not...
Guihong Cao, Jianfeng Gao, Jian-Yun Nie, Jing Bai