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» Solving the Ill-Conditioning in Neural Network Learning
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BMCBI
2006
159views more  BMCBI 2006»
15 years 1 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
SBRN
1998
IEEE
15 years 5 months ago
A Neural Architecture for the Identification of Number Sequences
This paper describes an architecture based on spatiotemporal networks that identifies sequences of numbers. This architecture incorporates an input layer that transforms (by means...
Juan Moreno García, Gabriel Sebastiá...
ARTMED
2002
119views more  ARTMED 2002»
15 years 1 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
ECAL
1999
Springer
15 years 5 months ago
Evolution of Neural Controllers with Adaptive Synapses and Compact Genetic Encoding
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
Dario Floreano, Joseba Urzelai
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 2 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...