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NIPS
2008
13 years 10 months ago
Learning Bounded Treewidth Bayesian Networks
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
Gal Elidan, Stephen Gould
METRICS
2005
IEEE
14 years 2 months ago
Teaching Evidence-Based Software Engineering to University Students
Evidence-based software engineering (EBSE) describes a process of identifying, understanding and evaluating findings from research and practice-based experience. This process aims...
Magne Jørgensen, Tore Dybå, Barbara A...
AAAI
2000
13 years 10 months ago
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
Joseph Beck, Beverly Park Woolf, Carole R. Beal
ECML
1993
Springer
14 years 25 days ago
Integrated Learning Architectures
Research in systems where learning is integrated to other components like problem solving, vision, or natural language is becoming an important topic for Machine Learning. Situatio...
Enric Plaza, Agnar Aamodt, Ashwin Ram, Walter Van ...
ISCA
2000
IEEE
118views Hardware» more  ISCA 2000»
14 years 10 days ago
Smart Memories: a modular reconfigurable architecture
Trends in VLSI technology scaling demand that future computing devices be narrowly focused to achieve high performance and high efficiency, yet also target the high volumes and lo...
Ken Mai, Tim Paaske, Nuwan Jayasena, Ron Ho, Willi...