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JMLR
2012
11 years 9 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
ACL
2006
13 years 8 months ago
Factorizing Complex Models: A Case Study in Mention Detection
As natural language understanding research advances towards deeper knowledge modeling, the tasks become more and more complex: we are interested in more nuanced word characteristi...
Radu Florian, Hongyan Jing, Nanda Kambhatla, Imed ...
ICALP
2009
Springer
14 years 7 months ago
Factoring Groups Efficiently
We give a polynomial time algorithm that computes a decomposition of a finite group G given in the form of its multiplication table. That is, given G, the algorithm outputs two su...
Neeraj Kayal, Timur Nezhmetdinov
ASPLOS
2010
ACM
14 years 2 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
IPL
2006
74views more  IPL 2006»
13 years 7 months ago
Periodic and Sturmian languages
Counting the number of distinct factors in the words of a language gives a measure of complexity for that language similar to the factor-complexity of infinite words. Similarly as ...
Lucian Ilie, Solomon Marcus, Ion Petre