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» Regression-based latent factor models
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196
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KDD
2010
ACM
435views Data Mining» more  KDD 2010»
15 years 7 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
126
Voted
ICML
2010
IEEE
15 years 4 months ago
Mixed Membership Matrix Factorization
Discrete mixed membership modeling and continuous latent factor modeling (also known as matrix factorization) are two popular, complementary approaches to dyadic data analysis. In...
Lester W. Mackey, David Weiss, Michael I. Jordan
170
Voted
ADC
2005
Springer
183views Database» more  ADC 2005»
15 years 9 months ago
Discovering User Access Pattern Based on Probabilistic Latent Factor Model
There has been an increased demand for characterizing user access patterns using web mining techniques since the informative knowledge extracted from web server log files can not ...
Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang ...
164
Voted
ICML
2009
IEEE
15 years 10 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
126
Voted
KDD
2009
ACM
655views Data Mining» more  KDD 2009»
15 years 10 months ago
Regression-based latent factor models
Deepak Agarwal, Bee-Chung Chen