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ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 7 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
JUCS
2007
95views more  JUCS 2007»
13 years 8 months ago
A First Step Mapping IMS Learning Design and Moodle
: Mapping the specification IMS Learning Design and the Course Management System Moodle is a logical step forward on interoperability between eLearning systems and specifications i...
Daniel Burgos, Colin Tattersall, Martin Dougiamas,...
TEC
2010
126views more  TEC 2010»
13 years 3 months ago
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
Mohamed Qasem, Adam Prügel-Bennett
AAAI
2007
13 years 11 months ago
Multi-Label Learning by Instance Differentiation
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Min-Ling Zhang, Zhi-Hua Zhou
COLT
2003
Springer
14 years 1 months ago
Learning with Equivalence Constraints and the Relation to Multiclass Learning
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
Aharon Bar-Hillel, Daphna Weinshall