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» Learning Classifiers from Semantically Heterogeneous Data
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ESWS
2007
Springer
14 years 3 months ago
Leveraging Existing Web Frameworks for a SIOC Explorer to Browse Online Social Communities
Since online Semantic Web applications are based on existing Web infrastructure, developing these applications could leverage experiences with and infrastructure of existing framew...
Benjamin Heitmann, Eyal Oren
ATAL
2007
Springer
14 years 3 months ago
Exchanging reputation values among heterogeneous agent reputation models: an experience on ART testbed
In open MAS it is often a problem to achieve agents' interoperability. The heterogeneity of its components turns the establishment of interaction or cooperation among them in...
Anarosa Brandão, Laurent Vercouter, Sara J....
COLING
2000
13 years 10 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
PROMISE
2010
13 years 3 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
SMC
2010
IEEE
186views Control Systems» more  SMC 2010»
13 years 7 months ago
Semantic enrichment of text representation with wikipedia for text classification
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Hiroki Yamakawa, Jing Peng, Anna Feldman