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» Learning to learn with the informative vector machine
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ECTEL
2007
Springer
16 years 26 days ago
Experiences of Technology Enhanced Learning: What Went Wrong?
The e-learning community is beginning to amass a great deal of experience of successful practice, but typically final project reports and associated papers concentrate only on the...
Su White, Hugh C. Davis
IDA
2007
Springer
16 years 26 days ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
COLT
2004
Springer
16 years 3 days ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
ICAISC
2004
Springer
16 years 2 days ago
Relevance LVQ versus SVM
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
Barbara Hammer, Marc Strickert, Thomas Villmann
PST
2004
15 years 8 months ago
Supporting Privacy in E-Learning with Semantic Streams
The goal of the semantic web is to facilitate the exchange of meaningful information in a form that is easy for machines to process. The goal of an e-learning system is to support ...
Lori Kettel, Christopher A. Brooks, Jim E. Greer