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PAMI
2008
145views more  PAMI 2008»
13 years 7 months ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
NECO
2007
129views more  NECO 2007»
13 years 6 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
DATE
2009
IEEE
127views Hardware» more  DATE 2009»
14 years 2 months ago
Process variation aware thread mapping for Chip Multiprocessors
Abstract—With the increasing scaling of manufacturing technology, process variation is a phenomenon that has become more prevalent. As a result, in the context of Chip Multiproce...
Shengyan Hong, Sri Hari Krishna Narayanan, Mahmut ...
IDA
2009
Springer
13 years 12 months ago
Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
Searching for interesting patterns in binary matrices plays an important role in data mining and, in particular, in formal concept analysis and related disciplines. Several algorit...
Petr Krajca, Vilém Vychodil
ICN
2005
Springer
14 years 27 days ago
Maximizing System Value Among Interested Packets While Satisfying Time and Energy Constraints
: Data filtering is an important approach to reduce energy consumption. Following this idea, Interest is used as a constraint to filter uninterested data in sensor networks. Within...
Lei Shu, Sungyoung Lee, Xiaoling Wu, Jie Yang