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ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 9 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
AIED
2009
Springer
14 years 4 months ago
Fostering engaged and directed learning by activity foregrounding and backgrounding
We propose a design model for guiding learning in exploratory environments through representational choices. Selecting the appropriate representations at the correct granularity ca...
Katherine Howland, Benedict du Boulay, Judith Good
ACL
2012
12 years 2 days ago
Pattern Learning for Relation Extraction with a Hierarchical Topic Model
We describe the use of a hierarchical topic model for automatically identifying syntactic and lexical patterns that explicitly state ontological relations. We leverage distant sup...
Enrique Alfonseca, Katja Filippova, Jean-Yves Delo...
SOCRATES
2008
100views Education» more  SOCRATES 2008»
13 years 11 months ago
Quality in eLearning. Some Results from a National Research Program
Quality is an open concept. Something has a good quality when the most salient of its characteristics have a positive value. What are this relevant features? It depends on the int...
Patrizia Ghislandi, Anna Pedroni, Daniela Paolino,...
ILP
2004
Springer
14 years 3 months ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid