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» Partial Classification Using Association Rules
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TRECVID
2008
13 years 9 months ago
Florida International University and University of Miami TRECVID 2008 - High Level Feature Extraction
This paper describes the FIU-UM group TRECVID 2008 high level feature extraction task submission. We have used a correlation based video semantic concept detection system for this...
Guy Ravitz, Lin Lin, Mei-Ling Shyu, Michael Armell...
JMLR
2008
117views more  JMLR 2008»
13 years 7 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
ICML
2005
IEEE
14 years 8 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
SGAI
2007
Springer
14 years 1 months ago
Extending Jess to Handle Uncertainty
Computer scientists are often faced with the challenge of having to model the world and its associated uncertainties. One area in particular where modelling uncertainty is importa...
David Corsar, Derek H. Sleeman, Anne McKenzie
ICCS
1997
Springer
13 years 11 months ago
Uncovering the Conceptual Models in Ripple Down Rules
: The need for analysis and modeling of knowledge has been espoused by many researchers as a prerequisite to building knowledge based systems (KBS). This approach has done little t...
Debbie Richards, Paul Compton