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» Adaptive learning in evolving task allocation networks
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BMCBI
2011
12 years 10 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 4 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
PDCN
2004
13 years 7 months ago
Quality-of-service provisioning system for multimedia transmission in IEEE 802.11 wireless lans
IEEE 802.11, the standard of wireless local area networks (WLANs), allows the coexistence of asynchronous and time-bounded traffic using the distributed coordination function (DCF)...
Joseph Deng, Hsu-Chun Yen
MMM
2010
Springer
141views Multimedia» more  MMM 2010»
13 years 8 months ago
Slow Intelligence Systems
: Networks and distributed computing systems are becoming increasingly important and at the same time, more and more critical to the world of Information Technology. This rash spre...
Shi-Kuo Chang
SAC
2004
ACM
13 years 12 months ago
Combining analysis and synthesis in a model of a biological cell
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
Ken Webb, Tony White