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ICML
1998
IEEE
15 years 10 months ago
The Problem with Noise and Small Disjuncts
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
Gary M. Weiss, Haym Hirsh
EXPERT
1998
83views more  EXPERT 1998»
15 years 6 months ago
Data-Driven Constructive Induction
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
Eric Bloedorn, Ryszard S. Michalski
ECTEL
2010
Springer
15 years 4 months ago
GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
Luca Mazzola, Riccardo Mazza
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 1 months ago
Discovering Knowledge from Multi-modal Lecture Recordings
Educational media mining is the process of converting raw media data from educational systems to useful information that can be used to design learning systems, answer research qu...
Kannan Rajkumar, Christian Guetl
ECML
2007
Springer
16 years 29 days ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...