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ICALT
2006
IEEE
15 years 8 months ago
A Semi-Automatic Tool using Ontology to Extract Learning Objects
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages. An extraction method consists of applying the...
Bich-Liên Doan, Yolaine Bourda, Vasile Dumit...
118
Voted
ICML
2010
IEEE
15 years 3 months ago
Generalizing Apprenticeship Learning across Hypothesis Classes
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
Thomas J. Walsh, Kaushik Subramanian, Michael L. L...
113
Voted
IJCAI
2001
15 years 4 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
122
Voted
ML
2008
ACM
15 years 2 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
109
Voted
ACL
2008
15 years 4 months ago
Unsupervised Learning of Narrative Event Chains
Hand-coded scripts were used in the 1970-80s as knowledge backbones that enabled inference and other NLP tasks requiring deep semantic knowledge. We propose unsupervised induction...
Nathanael Chambers, Daniel Jurafsky