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» Abstracting Reusable Cases from Reinforcement Learning
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ANNPR
2008
Springer
14 years 11 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
ARCS
2006
Springer
15 years 1 months ago
Distributed Modular Toolbox for Multi-modal Context Recognition
Abstract. We present a GUI-based C++ toolbox that allows for building distributed, multi-modal context recognition systems by plugging together reusable, parameterizable components...
David Bannach, Kai S. Kunze, Paul Lukowicz, Oliver...
JUCS
2007
98views more  JUCS 2007»
14 years 9 months ago
Using Visitor Patterns in Object-Oriented Action Semantics
Abstract: Object-Oriented Action Semantics is a semantic framework for the definition of programming languages. The framework incorporates some object-oriented concepts to the Act...
André Murbach Maidl, Cláudio Carvilh...
PREMI
2007
Springer
15 years 3 months ago
Self Adaptable Recognizer for Document Image Collections
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
Million Meshesha, C. V. Jawahar
98
Voted
ASIAN
1999
Springer
186views Algorithms» more  ASIAN 1999»
15 years 1 months ago
Ant Colony Optimization for the Ship Berthing Problem
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
Chia Jim Tong, Hoong Chuin Lau, Andrew Lim