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» Topic modeling with network regularization
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CIKM
2008
Springer
13 years 8 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
IEICET
2008
50views more  IEICET 2008»
13 years 6 months ago
Entity Network Prediction Using Multitype Topic Models
Hitohiro Shiozaki, Koji Eguchi, Takenao Ohkawa
TNN
1998
100views more  TNN 1998»
13 years 6 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
PKDD
2009
Springer
92views Data Mining» more  PKDD 2009»
14 years 26 days ago
A Generic Approach to Topic Models
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...
Gregor Heinrich
JOI
2010
101views more  JOI 2010»
13 years 4 months ago
Can epidemic models describe the diffusion of topics across disciplines?
This paper introduces a new approach to describe the spread of research topics across disciplines using epidemic models. The approach is based on applying individual-based models ...
Istvan Z. Kiss, Mark Broom, Paul G. Craze, Ismael ...