2438 search results - page 288 / 488 » Incremental Learning in Biological and Machine Learning Syst... |
132
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
182
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SDM
2011
SIAM
14 years 7 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
128
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ICASSP
2007
IEEE
15 years 11 months ago
2007
IEEE
This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental changes (e.g., starvation...
131
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IJBRA
2006
15 years 4 months ago
2006
: Many diseases, especially solid tumors, involve the disruption or deregulation of cellular processes. Most current work using gene expression and other high-throughput data, simp...
134
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ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...