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NN
2006
Springer
13 years 8 months ago
Neural systems implicated in delayed and probabilistic reinforcement
This review considers the theoretical problems facing agents that must learn and choose on the basis of reward or reinforcement that is uncertain or delayed, in implicit or proced...
Rudolf N. Cardinal
IJCNN
2008
IEEE
14 years 2 months ago
On-line bagging Negative Correlation Learning
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
Fernanda L. Minku, Xin Yao
ETS
2000
IEEE
100views Hardware» more  ETS 2000»
13 years 8 months ago
Pre-class Planning to Scaffold Students for Online Collaborative Learning Activities
In recent years, there is a growing interest in developing online collaborative learning environments. In a learner-centered online collaborative environment, students work togeth...
Xun Ge, Kelly Ann Yamashiro, Jack Lee
ICDAR
2011
IEEE
12 years 8 months ago
Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japane
—This paper describes effective object function design for combining on-line and off-line character recognizers for on-line handwritten Japanese text recognition. We combine on-l...
Bilan Zhu, Jinfeng Gao, Masaki Nakagawa
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 5 days ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone