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» Exploiting multiple classifier types with active learning
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GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 7 days ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
JUCS
2008
281views more  JUCS 2008»
13 years 6 months ago
Creating Adaptive e-Learning Board Games for School Settings Using the ELG Environment
: The use of digital games in education is well documented in the literature. They have been used in preschool, K-12, the university. A specific type of digital games is board game...
Symeon Retalis
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 27 days ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
MOBISYS
2009
ACM
14 years 7 months ago
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sen...
Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudh...
BMCBI
2010
143views more  BMCBI 2010»
13 years 6 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli