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PPSN
2004
Springer
14 years 2 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 9 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
WSC
1997
13 years 10 months ago
Cooperative Learning in Simulation
Traditionally, class periods have meant that students listen to a professor lecture for about an hour. Cooperative learning can replace some of that lecture time with methods desi...
Harriet Black Nembhard
ICML
2000
IEEE
14 years 9 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
EWSPT
2003
Springer
14 years 2 months ago
Quality Ensuring Development of Software Processes
: Software development is a complex process where many organizational units, persons, systems and artifacts are involved. In companies that exceed a certain size the business proce...
Alexander Förster, Gregor Engels