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ICML
2008
IEEE
14 years 8 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...
MICRO
2010
IEEE
238views Hardware» more  MICRO 2010»
13 years 5 months ago
Sampling Dead Block Prediction for Last-Level Caches
Last-level caches (LLCs) are large structures with significant power requirements. They can be quite inefficient. On average, a cache block in a 2MB LRU-managed LLC is dead 86% of ...
Samira Manabi Khan, Yingying Tian, Daniel A. Jimen...
MP
2007
75views more  MP 2007»
13 years 7 months ago
Solving maximum-entropy sampling problems using factored masks
We present a practical approach to Anstreicher and Lee’s masked spectral bound for maximum-entropy sampling, and we describe favorable results that we have obtained with a Branch...
Samuel Burer, Jon Lee
HYBRID
2011
Springer
12 years 7 months ago
Resource constrained LQR control under fast sampling
We investigate a state feedback Linear Quadratic Regulation problem with a constraint on the number of actuation signals that can be updated simultaneously. Such a constraint aris...
Jerome Le Ny, Eric Feron, George J. Pappas
IWMM
2000
Springer
108views Hardware» more  IWMM 2000»
13 years 11 months ago
Efficient Object Sampling via Weak References
The performance of automatic memory management may be improved if the policies used in allocating and collecting objects had knowledge of the lifetimes of objects. To date, approa...
Ole Agesen, Alex Garthwaite