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MMGPS
2003
13 years 10 months ago
Personalisation in Self e-Learning Networks
This paper presents some of the personalisation services designed for self e-learning networks in the SeLeNe project. A self e-learning network consists of web-based learning obje...
Kevin Keenoy, Vassilis Christophides
ICML
2004
IEEE
14 years 9 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
SEMWEB
2005
Springer
14 years 2 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 1 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
CBMS
2007
IEEE
14 years 3 months ago
Vicarious Learning and (Virtual) Case-Based Teaching in Health Science Education
This paper describes PATSy, an established interactive case-based system that provides students with access to virtual patients. PATSy has recently been extended by the addition o...
Richard Cox, Jianxiong Pang