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» Learning Causal Models of Relational Domains
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IEEEIAS
2009
IEEE
14 years 3 months ago
Organizational Barriers to the Implementation of Security Engineering
: The link between security engineering and systems engineering exists at the earliest stage of systems development, and, as a whole, there is sufficient evidence to suggest the di...
Bryan Stewart Cline
EWCBR
2004
Springer
14 years 1 months ago
Knowledge-Intensive Case-Based Reasoning in CREEK
Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that...
Agnar Aamodt
IJCAI
2003
13 years 10 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
IJCNN
2000
IEEE
14 years 27 days ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
CHI
1999
ACM
14 years 25 days ago
Bridging Strategies for VR-Based Learning
A distributed immersive virtual environment was deployed as a component of a pedagogical strategy for teaching third grade children that the Earth is round. The displacement strat...
Thomas G. Moher, Andrew E. Johnson, Stellan Ohlsso...