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TEC
2002
133views more  TEC 2002»
13 years 7 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
CORR
2011
Springer
161views Education» more  CORR 2011»
12 years 11 months ago
Doubly Robust Policy Evaluation and Learning
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
Miroslav Dudík, John Langford, Lihong Li
AH
2008
Springer
13 years 9 months ago
Facilitating Collaboration in Virtual Environments
The evolution of learning systems brought improvements to the functionality of their components by offering support and mediating learning, communication and collaboration. However...
Diana Chihaia
ICC
2007
IEEE
120views Communications» more  ICC 2007»
14 years 2 months ago
Dynamic Network Selection using Kernels
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
Eric van den Berg, Praveen Gopalakrishnan, Byungsu...
ICML
2003
IEEE
14 years 28 days ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens