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JMLR
2006
124views more  JMLR 2006»
13 years 10 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
13 years 11 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
13 years 11 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»
13 years 10 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
EDM
2010
128views Data Mining» more  EDM 2010»
13 years 11 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