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GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 3 months ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
71
Voted
ESANN
2003
14 years 11 months ago
Robust Topology Representing Networks
Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...
Michaël Aupetit
92
Voted
CCGRID
2008
IEEE
15 years 4 months ago
A Proactive Non-Cooperative Game-Theoretic Framework for Data Replication in Data Grids
— Data grids and its cost effective nature has taken on a new level of interest in recent years; amalgamation of different providers results in increased capacity as well as lowe...
Ali Elghirani, Riky Subrata, Albert Y. Zomaya
94
Voted
PAMI
2008
270views more  PAMI 2008»
14 years 10 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
95
Voted
IDA
2009
Springer
14 years 8 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo