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PRIS
2004
13 years 9 months ago
Learning Text Extraction Rules, without Ignoring Stop Words
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...
João Cordeiro, Pavel Brazdil
ECIR
2009
Springer
14 years 4 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
KCAP
2009
ACM
14 years 2 months ago
Reducing class imbalance during active learning for named entity annotation
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
Katrin Tomanek, Udo Hahn
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Multi-Modal Video Concept Extraction Using Co-Training
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...
Rong Yan, Milind R. Naphade
ILP
2003
Springer
14 years 22 days ago
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
Susanne Hoche, Stefan Wrobel