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ECAL
2001
Springer
15 years 2 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
CIBCB
2008
IEEE
14 years 11 months ago
Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks
The concept of a network motif--a small set of interacting genes which produce a predictable behaviour at the network level--has attracted considerable attention amongst network an...
Jennifer Hallinan, Anil Wipat
AINA
2008
IEEE
14 years 11 months ago
A Case Study on Software Evolution towards Service-Oriented Architecture
The evolution of any software product over its lifetime is unavoidable, caused both by bugs to be fixed and by new requirements appearing in the later stages of the product's...
Félix Cuadrado, Boni García, Juan C....
ASC
2004
14 years 9 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...
ICIP
1999
IEEE
15 years 11 months ago
A Toolbox for Interactive Segmentation Based on Nested Partitions
This paper presents a toolbox for interactive image segmentation based on a series of nested partitions of increasing coarseness. The user can navigate among the different resolut...
M. Francisca Zanoguera, Beatriz Marcotegui, Fernan...