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» Optimization Algorithms for Large Self-Structuring Networks
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ISNN
2005
Springer
14 years 4 months ago
Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
Liefeng Bo, Ling Wang, Licheng Jiao
ICCAD
1997
IEEE
117views Hardware» more  ICCAD 1997»
14 years 2 months ago
Generalized matching from theory to application
This paper presents a novel approach for post-mapping optimization. We exploit the concept of generalized matching, a technique that nds symbolically all possible matching assignm...
Patrick Vuillod, Luca Benini, Giovanni De Micheli
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 2 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
ERSA
2006
111views Hardware» more  ERSA 2006»
13 years 12 months ago
Promises and Pitfalls of Reconfigurable Supercomputing
Reconfigurable supercomputing (RSC) combines programmable logic chips with high performance microprocessors, all communicating over a high bandwidth, low latency interconnection n...
Maya Gokhale, Christopher Rickett, Justin L. Tripp...
ATMOS
2010
128views Optimization» more  ATMOS 2010»
13 years 9 months ago
Robust Train Routing and Online Re-scheduling
Train Routing is a problem that arises in the early phase of the passenger railway planning process, usually several months before operating the trains. The main goal is to assign...
Alberto Caprara, Laura Galli, Leo G. Kroon, G&aacu...