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» Using Machine Learning to Focus Iterative Optimization
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ACMMSP
2004
ACM
92views Hardware» more  ACMMSP 2004»
15 years 8 months ago
Instruction combining for coalescing memory accesses using global code motion
Instruction combining is an optimization to replace a sequence of instructions with a more efficient instruction yielding the same result in a fewer machine cycles. When we use it...
Motohiro Kawahito, Hideaki Komatsu, Toshio Nakatan...
NN
2002
Springer
136views Neural Networks» more  NN 2002»
15 years 2 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
CVPR
2009
IEEE
16 years 10 months ago
A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Much research effort on Automatic Image Annotation (AIA) has been focused on Generative Model, due to its well formed theory and competitive performance as compared with many we...
Yu Xiang (Fudan University), Xiangdong Zhou (Fudan...
ICML
2009
IEEE
16 years 3 months ago
Near-Bayesian exploration in polynomial time
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
J. Zico Kolter, Andrew Y. Ng
EDUTAINMENT
2007
Springer
15 years 9 months ago
Teaching Structured Development of Virtual Reality Systems Using P-VoT
Learning to build and test virtual reality (VR) systems is difficult due to the many required knowledge (e.g. computer graphics, sound processing, simulation, interaction, etc.) an...
Jinseok Seo, Gerard Jounghyun Kim