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PAKDD
2010
ACM
182views Data Mining» more  PAKDD 2010»
13 years 8 months ago
Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation
In this paper, we focus our attention on the problem of computing the ratio of two numbers, both of which are the summations of the private numbers distributed in different parties...
Bin Yang, Hiroshi Nakagawa
NIPS
2001
13 years 6 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
WEBI
2007
Springer
13 years 11 months ago
Mapping Ontologies Elements using Features in a Latent Space
This paper proposes a method for the mapping of ontologies that, in a greater extent than other approaches, discovers and exploits sets of latent features for approximating the in...
Vassilis Spiliopoulos, George A. Vouros, Vangelis ...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 5 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
NIPS
2008
13 years 6 months ago
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Indraneel Mukherjee, David M. Blei