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190
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JMLR
2007
137views more  JMLR 2007»
15 years 6 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
185
Voted
ICESS
2004
Springer
16 years 7 days ago
The Modeling for Dynamic Power Management of Embedded Systems
In this paper we present a new modeling technique using software engineering tool Flow Model for modeling and solving the Dynamic Power Management (DPM) with complex behavioral cha...
Jiangwei Huang, Tianzhou Chen, Minjiao Ye, Yi Lian
179
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BC
2004
97views more  BC 2004»
15 years 6 months ago
An elaborated model of fly small-target tracking
Flies have the capability to visually track small moving targets, even across cluttered backgrounds. Previous computational models, based on figure detection (FD) cells identified ...
Charles M. Higgins, Vivek Pant
183
Voted
TREC
2004
15 years 8 months ago
The Hong Kong Polytechnic University at the TREC 2004 Robust Track
In the robust track, we mainly tested our passage-based retrieval model with different passage sizes and weighting schemes. In our approach, we used two retrieval models, namely t...
D. Y. Wang, Robert Wing Pong Luk, Kam-Fai Wong
APSCC
2010
IEEE
15 years 4 months ago
Personalized Modeling for SaaS Based on Extended WSCL
Software as a service (SaaS) is an emerging software framework in which business data and logic typically integrate with other applications. It requires a unified subscriber to des...
Liu Ying, Zhang Bin, Liu Guoqi, Wang Deshuai, Gao ...
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