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» Active Learning on Trees and Graphs
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WWW
2004
ACM
14 years 10 months ago
KnowledgeTree: a distributed architecture for adaptive e-learning
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Peter Brusilovsky
PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
13 years 8 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
ITS
2000
Springer
112views Multimedia» more  ITS 2000»
14 years 1 months ago
Model of an Adaptive Support Interface for Distance Learning
We developed a distributed support model in an interface for distant learning. The support is integrated into the ExploraGraph navigator which makes it possible to navigate through...
Aude Dufresne
WWW
2008
ACM
14 years 10 months ago
Behavioral classification on the click graph
A bipartite query-URL graph, where an edge indicates that a document was clicked for a query, is a useful construct for finding groups of related queries and URLs. Here we use thi...
Martin Szummer, Nick Craswell
AIPS
2008
14 years 6 days ago
Learning Relational Decision Trees for Guiding Heuristic Planning
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...
Tomás de la Rosa, Sergio Jiménez, Da...