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JMLR
2006
124views more  JMLR 2006»
15 years 1 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
UAI
2004
15 years 2 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
IJCAI
1997
15 years 2 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
IJET
2007
143views more  IJET 2007»
15 years 1 months ago
Adaptive learning scenarios for detection of misconceptions about electricity and remediation
— Our main objective is to model the knowledge used by learners in order to solve problems about electricity. We are searching means to do a diagnosis about student’s activity ...
Sandra Michelet, Jean-Michel Adam, Vanda Luengo
109
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EDM
2010
128views Data Mining» more  EDM 2010»
15 years 2 months ago
Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning
In the past few years, Iranian universities have embarked to use e-learning tools and technologies to extend and improve their educational services. After a few years of conducting...
Mohammad Hassan Falakmasir, Jafar Habibi