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» Decision making in very large networks
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ICGA
2006
83views Optimization» more  ICGA 2006»
13 years 8 months ago
A Tool for the Direct Assessment of Poker Decisions
The element of luck permeates every aspect of the game of poker. Random stochastic outcomes introduce a large amount of noise that can make it very difficult to distinguish a good...
Darse Billings, Morgan Kan
NECO
2011
13 years 3 months ago
Collective Stability of Networks of Winner-Take-All Circuits
The neocortex has a remarkably uniform neuronal organization, suggesting that common principles of processing are employed throughout its extent. In particular, the patterns of co...
Ueli Rutishauser, Rodney J. Douglas, Jean-Jacques ...
PERCOM
2008
ACM
14 years 8 months ago
Estimating the Energy Consumption in Pervasive Java-Based Systems
We define and evaluate a framework for estimating the energy consumption of pervasive Java-based software systems. The framework's primary objective is to enable an engineer ...
Chiyoung Seo, Sam Malek, Nenad Medvidovic
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 9 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
ISMB
1993
13 years 10 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik