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CEC
2010
IEEE
13 years 7 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 6 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
ACCV
2010
Springer
13 years 3 months ago
A Method for Text Localization and Recognition in Real-World Images
A general method for text localization and recognition in real-world images is presented. The proposed method is novel, as it (i) departs from a strict feed-forward pipeline and re...
Lukas Neumann, Jiri Matas
AH
2008
Springer
14 years 3 months ago
Towards Computerized Adaptive Assessment Based on Structured Tasks
In an attempt to support traditional classroom assessment processes with fully computerized methods, we have developed a method for adaptive assessment suitable for well structured...
Jozef Tvarozek, Milos Kravcik, Mária Bielik...
ICDE
2000
IEEE
174views Database» more  ICDE 2000»
14 years 10 months ago
Self-Adaptive User Profiles for Large-Scale Data Delivery
Push-based data delivery requires knowledge of user interests for making scheduling, bandwidthallocation, and routing decisions. Such information is maintained as user profiles. W...
C. Lee Giles, Michael J. Franklin, Ugur Çet...