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NIPS
2008
14 years 11 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
ETS
2000
IEEE
100views Hardware» more  ETS 2000»
14 years 9 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
13 years 9 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»
15 years 1 months 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
HICSS
2003
IEEE
120views Biometrics» more  HICSS 2003»
15 years 3 months ago
Evaluating On-line Learning Platforms: a Case Study
Our “information-oriented” society shows an increasing exigency of life-long learning. In such framework, online Learning is becoming an important tool to allow the flexibilit...
Francesco Colace, Massimo De Santo, Mario Vento