466 search results - page 50 / 94 » Shape Priors using Manifold Learning Techniques |
152
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ATAL
2010
Springer
15 years 4 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
138
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KI
2007
Springer
15 years 4 months ago
2007
Springer
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
142
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JAIR
2010
15 years 2 months ago
2010
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
168
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BMCBI
2011
14 years 8 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
134
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GECCO
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...