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FCSC
2010
238views more  FCSC 2010»
13 years 5 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
CIKM
2008
Springer
13 years 10 months ago
Probabilistic polyadic factorization and its application to personalized recommendation
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
Yun Chi, Shenghuo Zhu, Yihong Gong, Yi Zhang
ISI
2008
Springer
13 years 8 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh
DIALM
2007
ACM
178views Algorithms» more  DIALM 2007»
14 years 12 days ago
Near-Optimal Compression of Probabilistic Counting Sketches for Networking Applications
Sketches--data structures for probabilistic, duplicate insensitive counting--are central building blocks of a number of recently proposed network protocols, for example in the con...
Björn Scheuermann, Martin Mauve
GLVLSI
2007
IEEE
194views VLSI» more  GLVLSI 2007»
14 years 11 days ago
Probabilistic maximum error modeling for unreliable logic circuits
Reliability modeling and evaluation is expected to be one of the major issues in emerging nano-devices and beyond 22nm CMOS. Such devices would have inherent propensity for gate f...
Karthikeyan Lingasubramanian, Sanjukta Bhanja