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» A theory of learning from different domains
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COGSCI
2010
125views more  COGSCI 2010»
15 years 1 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
FLAIRS
2004
15 years 3 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
100
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IIE
2006
74views more  IIE 2006»
15 years 1 months ago
Guidelines on the Design of Effective CBL Environments
This paper summarizes two studies and the contemporary literature on the design and construction of effective and efficient Computer Based Learning (CBL) environments. There is ade...
Athanasis Karoulis
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 3 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
NIPS
2008
15 years 3 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan