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CVPR
2008
IEEE
15 years 3 days ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
IJCAI
1989
13 years 11 months ago
Functional Representation of Designs and Redesign Problem Solving
gn problem can be abstractly characterized as a constrained function-to-structure mapping. The de­ sign task takes as input the specifications of the desired functions of a device...
Ashok K. Goel, B. Chandrasekaran
AAAI
2010
13 years 11 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
ICML
1997
IEEE
14 years 11 months ago
Automatic Rule Acquisition for Spelling Correction
This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledg...
Lidia Mangu, Eric Brill
IDEAL
2005
Springer
14 years 3 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak