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COLING
2008
15 years 7 months ago
Learning Entailment Rules for Unary Templates
Most work on unsupervised entailment rule acquisition focused on rules between templates with two variables, ignoring unary rules - entailment rules between templates with a singl...
Idan Szpektor, Ido Dagan
155
Voted
ECIR
2007
Springer
15 years 7 months ago
Active Learning with History-Based Query Selection for Text Categorisation
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obta...
Michael Davy, Saturnino Luz
192
Voted
ICASSP
2011
IEEE
14 years 10 months ago
Image compression using learned dictionaries by RLS-DLA and compared with K-SVD
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
Karl Skretting, Kjersti Engan
KCAP
2009
ACM
16 years 19 days ago
POIROT: acquiring workflows by combining models learned from interpreted traces
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...
174
Voted
AAAI
2010
15 years 7 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...