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ICML
2005
IEEE
14 years 8 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
CHI
1998
ACM
13 years 11 months ago
The Progress Portfolio: Designing Reflective Tools for a Classroom Context
A great deal of effort has gone into developing open-ended inquiry activities for science education as well as complex computer tools for accessing scientific data to help student...
Ben Loh, Josh Radinsky, Eric Russell, Louis M. Gom...
CE
2007
102views more  CE 2007»
13 years 7 months ago
ICT and learning: Lessons from Australian classrooms
Research into Information and Communication Technologies (ICT) in schools is well into its third decade but there is still a pressing need to better understand how computer-based ...
Debra N. A. Hayes
FLAIRS
2006
13 years 8 months ago
Constrained Lexical Attraction Models
Lexical Attraction Models (LAMs) were first introduced by Deniz Yuret in (Yuret 1998) to exemplify how an algorithm can learn word dependencies from raw text. His general thesis i...
Radu Ion, Verginica Barbu Mititelu
COGSCI
2007
85views more  COGSCI 2007»
13 years 7 months ago
Semantic Boost on Episodic Associations: An Empirically-Based Computational Model
Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused...
Yaron Silberman, Shlomo Bentin, Risto Miikkulainen