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CVPR
2010
IEEE
14 years 6 months ago
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoul...
AI
2004
Springer
13 years 10 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
ICPR
2000
IEEE
14 years 11 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
ECTEL
2006
Springer
14 years 1 months ago
Rethinking the Use of Ontologies in Learning
Abstract. This paper investigates the use of ontologies in processes of collaborative learning and knowledge generation. The creation and use of ontologies is analysed from an acti...
Heidrun Allert, Hannu Markkanen, Christoph Richter
IJCNN
2007
IEEE
14 years 4 months ago
Predicting Spike Activity in Neuronal Cultures
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
Tayfun Gürel, Ulrich Egert, Steffen Kandler, ...