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ICML
2009
IEEE
14 years 8 months ago
Factored conditional restricted Boltzmann Machines for modeling motion style
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
Graham W. Taylor, Geoffrey E. Hinton
LICS
1994
IEEE
13 years 11 months ago
Foundations of Timed Concurrent Constraint Programming
We develop a model for timed, reactive computation by extending the asynchronous, untimed concurrent constraint programming model in a simple and uniform way. In the spirit of pro...
Vijay A. Saraswat, Radha Jagadeesan, Vineet Gupta
CLUSTER
2008
IEEE
14 years 1 months ago
Live and incremental whole-system migration of virtual machines using block-bitmap
—In this paper, we describe a whole-system live migration scheme, which transfers the whole system run-time state, including CPU state, memory data, and local disk storage, of th...
Yingwei Luo, Binbin Zhang, Xiaolin Wang, Zhenlin W...
ICCAD
2006
IEEE
119views Hardware» more  ICCAD 2006»
14 years 1 months ago
Dynamic power management using machine learning
Dynamic power management (DPM) work proposed to date places inactive components into low power states using a single DPM policy. In contrast, we instead dynamically select among a...
Gaurav Dhiman, Tajana Simunic Rosing
ML
2002
ACM
121views Machine Learning» more  ML 2002»
13 years 7 months ago
Near-Optimal Reinforcement Learning in Polynomial Time
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Michael J. Kearns, Satinder P. Singh