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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
12 years 11 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
TOG
2012
273views Communications» more  TOG 2012»
11 years 10 months ago
Functional maps: a flexible representation of maps between shapes
We present a novel representation of maps between pairs of shapes that allows for efficient inference and manipulation. Key to our approach is a generalization of the notion of m...
Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, ...
JCC
2002
67views more  JCC 2002»
13 years 7 months ago
Quasi-degenerate perturbation theory with general multiconfiguration self-consistent field reference functions
: The quasi-degenerate perturbation theory (QDPT) with complete active space (CAS) self-consistent field (SCF) reference functions is extended to the general multiconfiguration (MC...
Haruyuki Nakano, Ryuma Uchiyama, Kimihiko Hirao
PRL
2007
180views more  PRL 2007»
13 years 7 months ago
Symmetric hash functions for secure fingerprint biometric systems
Securing biometrics databases from being compromised is one of the most important challenges that must be overcome in order to demonstrate the viability of biometrics based authen...
Sergey Tulyakov, Faisal Farooq, Praveer Mansukhani...
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
14 years 1 months ago
New evolutionary techniques for test-program generation for complex microprocessor cores
Checking if microprocessor cores are fully functional at the end of the productive process has become a major issue. Traditional functional approaches are not sufficient when cons...
Ernesto Sánchez, Massimiliano Schillaci, Ma...