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» TRUST-TECH based Methods for Optimization and Learning
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GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 4 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
113
Voted
IJCAI
2007
15 years 2 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
93
Voted
ICMCS
2007
IEEE
183views Multimedia» more  ICMCS 2007»
15 years 7 months ago
Facial Expression Recognition using Encoded Dynamic Features
In this paper, we propose a new approach of facial expression recognition. In order to capture the temporal characteristic of facial expressions, we design dynamic haar-like featu...
Peng Yang, Qingshan Liu, Dimitris N. Metaxas
111
Voted
IBPRIA
2009
Springer
15 years 5 months ago
Score Fusion by Maximizing the Area under the ROC Curve
Information fusion is currently a very active research topic aimed at improving the performance of biometric systems. This paper proposes a novel method for optimizing the paramete...
Mauricio Villegas, Roberto Paredes
CIKM
2004
Springer
15 years 6 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann