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ITS
2004
Springer
170views Multimedia» more  ITS 2004»
15 years 9 months ago
Inducing Optimal Emotional State for Learning in Intelligent Tutoring Systems
Emotions play an important role in cognitive processes and specially in learning tasks. Moreover, there are some evidences that the emotional state of the learner correlated with h...
Soumaya Chaffar, Claude Frasson
ITS
2004
Springer
138views Multimedia» more  ITS 2004»
15 years 9 months ago
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems
Research has shown that students’ problem-solving actions vary in type and duration. Among other causes, this behavior is a result of strategies that are driven by different goal...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kennet...
ILP
2001
Springer
15 years 8 months ago
Learning Functions from Imperfect Positive Data
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
Filip Zelezný
ICANN
2009
Springer
15 years 8 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
DIS
2008
Springer
15 years 6 months ago
Active Learning for High Throughput Screening
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...
Kurt De Grave, Jan Ramon, Luc De Raedt