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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
KES
2008
Springer
13 years 7 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
SEMWEB
2009
Springer
14 years 2 months ago
Produce and Consume Linked Data with Drupal!
Abstract. Currently a large number of Web sites are driven by Content Management Systems (CMS) which manage textual and multimedia content but also inherently - carry valuable info...
Stephane Corlosquet, Renaud Delbru, Tim Clark, Axe...
WWW
2008
ACM
14 years 8 months ago
iRobot: an intelligent crawler for web forums
We study in this paper the Web forum crawling problem, which is a very fundamental step in many Web applications, such as search engine and Web data mining. As a typical user-crea...
Rui Cai, Jiang-Ming Yang, Wei Lai, Yida Wang, Lei ...
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 10 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...