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ACL
2008
15 years 8 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum
SERVICES
2008
71views more  SERVICES 2008»
15 years 8 months ago
Using Problems to Learn Service-Oriented Computing
Service-oriented computing and the ensuing science of services represent significant challenges to academia. As we come to grips with its many implications, we are slowly beginnin...
Sandeep Purao, Vijay K. Vaishnavi, John W. Bagby, ...
ICVGIP
2004
15 years 8 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...
ECIS
2001
15 years 8 months ago
Learning to value the Bardic tradition: Culture, communication and organisational knowledge
Recent work on organisational knowledge suggests that, in addition to cultivating the 'knowledge spiral', organisations need to focus on facilitating forms of 'know...
Mark Thompson 0002, Geoff Walsham
PUK
2000
15 years 8 months ago
An Accessibility graph learning approach for task planning in large domains
Abstract. In the stream of research that aims to speed up practical planners, we propose a new approach to task planning based on Probabilistic Roadmap Methods (PRM). Our contribut...
Emmanuel Guere, Rachid Alami