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ATAL
2009
Springer
3 years 11 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
CEC
2009
IEEE
3 years 11 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
CEC
2009
IEEE
3 years 11 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
ANNPR
2010
Springer
3 years 11 months ago
Cluster Analysis of Cortical Pyramidal Neurons Using SOM
Abstract. A cluster analysis using SOM has been performed on morphological data derived from pyramidal neurons of the somatosensory cortex of normal and transgenic mice.
Andreas Schierwagen, Thomas Villmann, Alán ...

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dereylyResearch Scientist, MSc
MIPT
dereyly

Tutorial
2130views
3 years 11 months ago
Nguyen-Widrow and other Neural Network Weight/Threshold Initialization Methods
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
Jeff Heaton
KDD
2004
ACM
115views Data Mining» more  KDD 2004»
4 years 4 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
WWW
2005
ACM
4 years 5 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...

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jeffheatonProgrammer
Heaton Research, Inc.
jeffheaton
Jeff Heaton is an author, consultant, artificial intelligence (AI) researcher and former college instructor. Heaton has penned more than a dozen books on topics including AI, virtu...


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44 years 4 months ago
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