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» Interesting Patterns Extraction Using Prior Knowledge
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PREMI
2005
Springer
14 years 1 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 1 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
JCP
2007
121views more  JCP 2007»
13 years 7 months ago
Learning by Discrimination: A Constructive Incremental Approach
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
Christophe G. Giraud-Carrier, Tony R. Martinez
ICML
2006
IEEE
14 years 8 months ago
Inference with the Universum
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
Fabian H. Sinz, Jason Weston, Léon Bottou, ...
AUSDM
2006
Springer
78views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Visualization of Attractive and Repulsive Zones Between Variables
This paper presents a preprocessing step in mining association rules which uses tables to summarize synthetically the way variables interact by highlighting any zones which are at...
Sylvie Guillaume, Leila Nemmiche Alachaher