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» Active Learning to Support the Generation of Meta-examples
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ICANN
2007
Springer
13 years 9 months ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
IJHIS
2008
84views more  IJHIS 2008»
13 years 5 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
PAMI
2007
137views more  PAMI 2007»
13 years 4 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
PUC
2006
93views more  PUC 2006»
13 years 5 months ago
Comparing end-user and intelligent remote control interface generation
Traditional remote controls typically allow users to activate functionality of a single device. Given that users activate a subset of functionality across devices to accomplish a p...
Olufisayo Omojokun, Jeffrey S. Pierce, Charles Lee...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 10 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...