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ECIR
2009
Springer
13 years 3 months ago
Active Learning Strategies for Multi-Label Text Classification
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Andrea Esuli, Fabrizio Sebastiani
IADIS
2004
13 years 7 months ago
Students Text-Production Methods when Learning with the Internet
The increasing use of multimedia in education makes text-production with computers important for students. What kind of role does the Internet play here as an external source of i...
Burkhard Priemer, Maria Ploog
IIR
2010
13 years 7 months ago
Sentence-Based Active Learning Strategies for Information Extraction
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebasti...
COLT
2001
Springer
13 years 10 months ago
Intrinsic Complexity of Learning Geometrical Concepts from Positive Data
Intrinsic complexity is used to measure the complexity of learning areas limited by broken-straight lines (called open semi-hulls) and intersections of such areas. Any strategy le...
Sanjay Jain, Efim B. Kinber
ESWA
2006
149views more  ESWA 2006»
13 years 5 months ago
An effective refinement strategy for KNN text classifier
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an...
Songbo Tan