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107
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ANNPR
2006
Springer
15 years 2 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
ICANN
2005
Springer
15 years 4 months ago
A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
Jochen Triesch
77
Voted
NN
2006
Springer
120views Neural Networks» more  NN 2006»
14 years 11 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
73
Voted
NIPS
2000
15 years 8 days ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
97
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AINA
2009
IEEE
15 years 5 months ago
SOA Initiatives for eLearning: A Moodle Case
— Mobile learning applications introduce a new degree of ubiquitousness in the learning process. There is a new generation of ICT-powered mobile learning experiences that exist i...
María José Casany Guerrero, Marc Ali...