default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFoundations of Computational Intelligence, Volume 1, 2009
- Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz:
Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Studies in Computational Intelligence 201, Springer 2009, ISBN 978-3-642-01081-1
Function Approximation
- Christopher Fogelberg, Vasile Palade
:
Machine Learning and Genetic Regulatory Networks: A Review and a Roadmap. 3-34 - Dirk Gorissen, Karel Crombecq, Ivo Couckuyt, Tom Dhaene:
Automatic Approximation of Expensive Functions with Active Learning. 35-62 - Marcelo Azevedo Costa, Thiago S. Rodrigues, Euler Guimarães Horta, Antônio de Pádua Braga, Carmen D. M. Pataro, René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela:
New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. 63-82 - Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu:
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. 83-114
Connectionist Learning
- Ciro Castiello:
Meta-learning and Neurocomputing - A New Perspective for Computational Intelligence. 117-142 - M. Hadi Mashinchi, Siti Mariyam Hj. Shamsuddin:
Three-Term Fuzzy Back-Propagation. 143-158 - Cícero Nogueira dos Santos, Ruy Luiz Milidiú:
Entropy Guided Transformation Learning. 159-184 - Arturo Chavoya:
Artificial Development. 185-215 - Moumen T. El-Melegy, Mohamed H. Essai, Ali A. Amer:
Robust Training of Artificial Feedforward Neural Networks. 217-242 - Paolo Renna, Pierluigi Argoneto:
Workload Assignment in Production Networks by Multi Agent Architecture. 243-277
Knowledge Representation and Acquisition
- Daswin De Silva, Damminda Alahakoon, Shyamali Dharmage:
Extensions to Knowledge Acquisition and Effect of Multimodal Representation in Unsupervised Learning. 281-305 - Hazem M. El-Bakry, Mohamed Hamada:
A New Implementation for Neural Networks in Fourier-Space. 307-330
Learning and Visualization
- Sebastien Aupetit, Nicolas Monmarché, Pierre Liardet, Mohamed Slimane:
Dissimilarity Analysis and Application to Visual Comparisons. 333-361 - Arthur L. Hsu, Isaam Saeed, Saman K. Halgamuge:
Dynamic Self-Organising Maps: Theory, Methods and Applications. 363-379 - Sultan Noman Qasem, Siti Mariyam Hj. Shamsuddin, Aboul Ella Hassanien:
Hybrid Learning Enhancement of RBF Network with Particle Swarm Optimization. 381-397
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-21 19:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
