Supervised latent Dirichlet allocation for classification
This is a C++ implementation of supervised latent Dirichlet allocation (sLDA) for classification. Note that the code here is slightly different from what was described in [2] in order to speed up. Note that this is only the sLDA. The annotation part is not yet posted. Downloads Download the readme.txt . Download the code (version 1.0): slda.tgz . Sample data A preprocesed 8-class image dataset [
David M. Blei
Computer Science Department Princeton University Computer Science Room 419 35 Olden St Princeton, NJ 08540 609.258.9907 (P) 609.258.1771 (F) blei@cs.princeton.edu Topic Modeling Much of my research is in topic modeling, developing algorithms to uncover the hidden thematic structure of a collection of documents. These algorithms help us develop new ways to search, browse and summarize large
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如流, 新一代智能工作平台
如流, 新一代智能工作平台
如流, 新一代智能工作平台
plda - Google Code
http://ciir.cs.umass.edu/~weili/research.html