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» Machine Learning Approaches for Inducing Student Models
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129
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BMCBI
2008
112views more  BMCBI 2008»
15 years 3 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
122
Voted
ICWL
2004
Springer
15 years 9 months ago
Context-Based Classification for Link Data
In Web-based e-learning, an up-to-date catalogue of subject-specific Web resources can effectively offer inexperienced students with an advanced academic portal on the Web. To auto...
YongHong Tian, Wen Gao, Tiejun Huang
126
Voted
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
16 years 4 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
ECTEL
2007
Springer
15 years 10 months ago
Creation of Lithuanian Digital Library of Educational Resources and Services: the Hypothesis, Contemporary Practice, and Future
Currently national digital library of educational resources and services (DLE) for primary and secondary education is under implementation in Lithuania. The article aims to analyse...
Eugenijus Kurilovas, Svetlana Kubilinskiene
EMNLP
2009
15 years 1 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li