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FPGA
2010
ACM
232views FPGA» more  FPGA 2010»
14 years 9 months ago
High-throughput bayesian computing machine with reconfigurable hardware
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Mingjie Lin, Ilia Lebedev, John Wawrzynek
CORR
2008
Springer
121views Education» more  CORR 2008»
14 years 9 months ago
Rate-Distortion via Markov Chain Monte Carlo
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstructio...
Shirin Jalali, Tsachy Weissman
ALMOB
2006
138views more  ALMOB 2006»
14 years 9 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
CORR
2007
Springer
153views Education» more  CORR 2007»
14 years 9 months ago
Power-Bandwidth Tradeoff in Dense Multi-Antenna Relay Networks
— We consider a dense fading multi-user network with multiple active multi-antenna source-destination pair terminals communicating simultaneously through a large common set of K ...
Ozgur Oyman, Arogyaswami Paulraj
JMLR
2006
108views more  JMLR 2006»
14 years 9 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...