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171
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FPGA
2010
ACM
15 years 3 months ago
2010
ACM
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
140
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
124
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CHI
2008
ACM
16 years 3 months ago
2008
ACM
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
155
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KDD
2012
ACM
13 years 5 months ago
2012
ACM
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
119
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ATAL
2008
Springer
15 years 5 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...