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ICML
2010
IEEE
15 years 5 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
GI
2009
Springer
15 years 2 months ago
An Adaptative Framework for Tracking Web-based Learning Environments
: Collecting and sharing attention information represents a main concern within the Technology Enhanced Learning community, as the number of works or projects related to this topic...
Valentin Butoianu, Philippe Vidal, Julien Broisin
142
Voted
CIKM
2007
Springer
15 years 10 months ago
Developing learning strategies for topic-based summarization
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
Ouyang You, Sujian Li, Wenjie Li
HRI
2006
ACM
15 years 10 months ago
Structural descriptions in human-assisted robot visual learning
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper...
Geert-Jan M. Kruijff, John D. Kelleher, Gregor Ber...
HICSS
2003
IEEE
209views Biometrics» more  HICSS 2003»
15 years 9 months ago
Divergent Approaches and Converging Views: Drawing Sensible Linkages between Knowledge Management and Organizational Learning
Knowledge management (KM) and organizational learning (OL) have developed in both divergent and convergent ways. In particular, these fields have relatively distinct intellectual ...
Jing Zhang, Sue R. Faerman