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ACE
2004
193views Education» more  ACE 2004»
13 years 9 months ago
Conversational KM - Student Driven Learning
A conversational method of teaching whereby the students engage each other as a key part of the learning experience achieves a higher percentage of high grades (and presumably bet...
Marilyn A. Wells, Phillip W. Brook
ML
2007
ACM
130views Machine Learning» more  ML 2007»
13 years 7 months ago
Interactive learning of node selecting tree transducer
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
Julien Carme, Rémi Gilleron, Aurélie...
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
14 years 1 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
SPE
2002
105views more  SPE 2002»
13 years 7 months ago
Specifying a role-based guide for learning to work with an enterprise framework
Learning to work with enterprise frameworks requires considerable effort, because of the inherent complexity of all the knowledge that is needed. However, different roles in proje...
Wilhelm Hasselbring, Ralph van den Houdt
NIPS
2008
13 years 9 months ago
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svet...