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ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
15 years 4 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
ECTEL
2010
Springer
14 years 9 months ago
Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning
Abstract. This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social ...
Carsten Ullrich, Kerstin Borau, Karen Stepanyan
ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 9 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
ICML
2006
IEEE
15 years 11 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik
NIPS
2003
14 years 12 months ago
Online Learning of Non-stationary Sequences
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
Claire Monteleoni, Tommi Jaakkola