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SAB
2010
Springer
117views Optimization» more  SAB 2010»
15 years 5 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
CW
2003
IEEE
16 years 1 days ago
Virtual Experiment Environments Design for Science Education
Virtual reality technology is reported that the use of virtual reality(VR) as an educational tool can increase student interests, understanding and creative learning because of en...
Young-suk Shin
CIMCA
2005
IEEE
16 years 11 days ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
EUSFLAT
2001
15 years 8 months ago
Learning maximal structure fuzzy rules with exceptions
This paper proposes a method to solve the con icts that arise in the framework of fuzzy model identi
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
EMNLP
2010
15 years 4 months ago
Lessons Learned in Part-of-Speech Tagging of Conversational Speech
This paper examines tagging models for spontaneous English speech transcripts. We analyze the performance of state-of-the-art tagging models, either generative or discriminative, ...
Vladimir Eidelman, Zhongqiang Huang, Mary P. Harpe...