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ATAL
2005
Springer
13 years 11 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CORR
2004
Springer
106views Education» more  CORR 2004»
13 years 5 months ago
Intelligent Systems: Architectures and Perspectives
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
Ajith Abraham
ICDCS
2008
IEEE
14 years 6 days ago
Distributed Divide-and-Conquer Techniques for Effective DDoS Attack Defenses
Distributed Denial-of-Service (DDoS) attacks have emerged as a popular means of causing mass targeted service disruptions, often for extended periods of time. The relative ease an...
Muthusrinivasan Muthuprasanna, Govindarasu Manimar...
HIKM
2006
ACM
13 years 11 months ago
Epoch: an ontological framework to support clinical trials management
The increasing complexity of clinical trials has generated an enormous requirement for knowledge and information specification at all stages of the trials, including planning, doc...
Ravi D. Shankar, Susana B. Martins, Martin J. O'Co...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 9 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard