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» A learning model for oscillatory networks
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NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 6 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
WMTE
2002
IEEE
15 years 11 months ago
Lightweight Extensions of Collaborative Modeling Systems for Synchronous Use on PDA's
Based on experience in orchestrating co llaborative learning scenarios with ubiquitous computing technology, two strategies for extending a co -constructive modeling environment w...
Niels Pinkwart, Christian Schäfer, Heinz Ulri...
COLING
2000
15 years 7 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis
ICML
2000
IEEE
16 years 7 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
JIFS
2002
107views more  JIFS 2002»
15 years 6 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...