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ICPP
2008
IEEE
14 years 3 months ago
Parallelization and Characterization of Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong...
COLCOM
2005
IEEE
14 years 2 months ago
Providing both scale and security through a single core probabilistic protocol
Distributed systems are typically designed for scale and performance first, which makes it difficult to add security later without affecting the original properties. This paper ...
Ramsés Morales, Indranil Gupta
LCPC
2001
Springer
14 years 1 months ago
Probabilistic Points-to Analysis
Information gathered by the existing pointer analysis techniques can be classified as must aliases or definitely-points-to relationships, which hold for all executions, and may a...
Yuan-Shin Hwang, Peng-Sheng Chen, Jenq Kuen Lee, R...
APSEC
2007
IEEE
13 years 11 months ago
An Approach to Probabilistic Effort Estimation for Military Avionics Software Maintenance by Considering Structural Characterist
The needs of software maintenance and the importance of maintenance project management increase rapidly in the military avionics industry. Although few previous studies related to...
Tae-Hoon Song, Kyung-A Yoon, Doo-Hwan Bae
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 9 months ago
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
Ryan Prescott Adams, George E. Dahl, Iain Murray