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CVPR
2010
IEEE
15 years 4 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
ETS
2006
IEEE
119views Hardware» more  ETS 2006»
15 years 6 months ago
An Ontology-Based Framework for Bridging Learning Design and Learning Content
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and dev...
Colin Knight, Dragan Gasevic, Griff Richards
ICPR
2002
IEEE
16 years 7 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
ICYCS
2008
IEEE
16 years 28 days ago
The Practice of Remote Education on Information Security
With the rapid development of computer science, its education mode also changes a lot. Teaching and learning are not restricted by the physical distance with the help of the netwo...
Wei Hu, Gang Wang, Qingsong Shi, Tianzhou Chen
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 7 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort