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» Estimating Likelihoods for Topic Models
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ICASSP
2011
IEEE
14 years 3 months ago
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection
In this paper we introduce a new technique for estimating the parameters of the Keplerian model commonly used in radial velocity data analysis for extrasolar planet detection. The...
Prabhu Babu, Petre Stoica
ACL
2010
14 years 9 months ago
Cross-Lingual Latent Topic Extraction
Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing to...
Duo Zhang, Qiaozhu Mei, ChengXiang Zhai
AAAI
2010
14 years 9 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...
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ICML
2010
IEEE
14 years 12 months ago
Spherical Topic Models
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
NIPS
2003
15 years 1 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...