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» Multiple Layer Perceptron training using genetic algorithms
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120
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GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
15 years 9 months ago
A Linear Genetic Programming Approach to Intrusion Detection
Abstract. Page-based Linear Genetic Programming (GP) is proposed and implemented with two-layer Subset Selection to address a two-class intrusion detection classification problem a...
Dong Song, Malcolm I. Heywood, A. Nur Zincir-Heywo...
134
Voted
NIPS
2004
15 years 5 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...
118
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BILDMED
2006
120views Algorithms» more  BILDMED 2006»
15 years 5 months ago
Towards Automatic Segmentation of Serial High-Resolution Images
Developing barley grains are to be visualised by a 4-D model, in which spatiotemporal experimental data can be integrated. The most crucial task lies in the automation of the exten...
Cornelia Brüß, Marc Strickert, Udo Seif...
121
Voted
ACCV
2009
Springer
15 years 10 months ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo
112
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 4 months ago
Experiments with indexed FOR-loops in genetic programming
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
Gayan Wijesinghe, Victor Ciesielski