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» Exploiting Context When Learning to Classify
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SAC
2005
ACM
14 years 1 months ago
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
Dario Bonino, Fulvio Corno, Federico Pescarmona
CORR
2002
Springer
63views Education» more  CORR 2002»
13 years 7 months ago
Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
Peter D. Turney
CCIA
2005
Springer
14 years 1 months ago
Classifying Natural Objects on Outdoor Scenes
We propose an hybrid and probabilistic classification of image regions belonging to scenes primarily containing natural objects, e.g. sky, trees, etc. as a first step in solving ...
Anna Bosch, Xavier Muñoz, Joan Martí...
ADC
2010
Springer
214views Database» more  ADC 2010»
13 years 2 months ago
Building a dynamic classifier for large text data collections
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories....
Pavel Kalinov, Bela Stantic, Abdul Sattar
ITS
2010
Springer
163views Multimedia» more  ITS 2010»
14 years 12 days ago
Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring
Collaborative activities, like peer tutoring, can be beneficial for student learning, but only when students are supported in interacting effectively. Constructing intelligent tuto...
Erin Walker, Sean Walker, Nikol Rummel, Kenneth R....