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IJCAI
2001
13 years 9 months ago
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Maytal Saar-Tsechansky, Foster J. Provost
ALT
2006
Springer
14 years 4 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
FGR
2008
IEEE
150views Biometrics» more  FGR 2008»
14 years 2 months ago
Emotional contagion for unseen bodily expressions: Evidence from facial EMG
Emotional contagion refers to the tendency to automatically mimic and synchronize our facial expressions with those of another person. Recent EMG studies have shown that emotional...
Marco Tamietto, Béatrice de Gelder
CEC
2009
IEEE
14 years 2 months ago
Lamarckian neuroevolution for visual control in the Quake II environment
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...
Matt Parker, Bobby D. Bryant
AI50
2006
13 years 11 months ago
What Can AI Get from Neuroscience?
The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its re...
Steve M. Potter