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ECTEL
2006
Springer
15 years 5 months ago
Blended Learning Concepts - a Short Overview
This paper presents a short overview of blended learning, showing arguments for and against these concepts. Potential blended learning scenarios are described that vary depending o...
Sonja Trapp
ICML
1991
IEEE
15 years 5 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 2 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
ECML
2007
Springer
15 years 8 months ago
Using Text Mining and Link Analysis for Software Mining
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
Miha Grcar, Marko Grobelnik, Dunja Mladenic
ISMVL
1997
IEEE
134views Hardware» more  ISMVL 1997»
15 years 6 months ago
Functional Decomposition of MVL Functions Using Multi-Valued Decision Diagrams
In this paper, the minimization of incompletely specified multi-valued functions using functional decomposition is discussed. From the aspect of machine learning, learning sample...
Craig M. Files, Rolf Drechsler, Marek A. Perkowski