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» On the Complexity of Function Learning
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168
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ICMCS
2006
IEEE
155views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Region-Based Image Retrieval using Radial Basis Function Network
This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
Kui Wu, Kim-Hui Yap, Lap-Pui Chau
110
Voted
IJON
2002
98views more  IJON 2002»
15 years 3 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
149
Voted
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 1 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
133
Voted
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
15 years 10 months ago
Evolution of functional specialization in a morphologically homogeneous robot
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
Joshua S. Auerbach, Josh C. Bongard
126
Voted
BMCBI
2008
145views more  BMCBI 2008»
15 years 3 months ago
The contrasting properties of conservation and correlated phylogeny in protein functional residue prediction
Background: Amino acids responsible for structure, core function or specificity may be inferred from multiple protein sequence alignments where a limited set of residue types are ...
Jonathan R. Manning, Emily R. Jefferson, Geoffrey ...