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NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 3 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
ASPLOS
2011
ACM
14 years 6 months ago
Sponge: portable stream programming on graphics engines
Graphics processing units (GPUs) provide a low cost platform for accelerating high performance computations. The introduction of new programming languages, such as CUDA and OpenCL...
Amir Hormati, Mehrzad Samadi, Mark Woh, Trevor N. ...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 4 months ago
Enhanced generalized ant programming (EGAP)
This paper begins by reviewing different methods of automatic programming while emphasizing the technique of Ant Programming (AP). AP uses an ant foraging metaphor in which ants g...
Amirali Salehi-Abari, Tony White
ICPR
2004
IEEE
16 years 4 months ago
An Efficient Three-Stage Classifier for Handwritten Digit Recognition
This paper proposes an efficient three-stage classifier for handwritten digit recognition based on NN (Neural Network) and SVM (Support Vector Machine) classifiers. The classifica...
Dejan Gorgevik, Dusan Cakmakov
IFIP
2003
Springer
15 years 8 months ago
Collaborative and Distributed Computation in Mesh-Like Wireless Sensor Arrays
Sensor networks are being used for implementation of a large number of applications involving distributed and collaborative computation. Extensive research has focused upon design ...
Mitali Singh, Viktor K. Prasanna, José D. P...