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131
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IEAAIE
2004
Springer
15 years 8 months ago
Machine Learning Approaches for Inducing Student Models
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is d...
Oriana Licchelli, Teresa Maria Altomare Basile, Ni...
DATE
2002
IEEE
95views Hardware» more  DATE 2002»
15 years 7 months ago
Window-Based Susceptance Models for Large-Scale RLC Circuit Analyses
Due to the increasing operating frequencies and the manner in which the corresponding integrated circuits and systems must be designed, the extraction, modeling and simulation of ...
Hui Zheng, Lawrence T. Pileggi, Michael W. Beattie...
109
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IJIS
2011
95views more  IJIS 2011»
14 years 6 months ago
Modeling and reasoning with qualitative comparative clinical knowledge
The number of clinical trials reports is increasing rapidly due to a large number of clinical trials being conducted, it therefore raises an urgent need to utilize the clinical kno...
Jianbing Ma, Weiru Liu, Anthony Hunter
136
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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 3 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
ICPR
2010
IEEE
15 years 7 months ago
Lattice-Based Anomaly Rectification for Sport Video Annotation
Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way...
Aftab Khan, David Windridge, Teofilo De Campos