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» Perceptual Learning and Abstraction in Machine Learning
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PAMI
2010
181views more  PAMI 2010»
13 years 7 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
COGSCI
2010
111views more  COGSCI 2010»
13 years 8 months ago
Mechanisms of Cognitive Development: Domain-General Learning or Domain-Specific Constraints?
many abstract categories (e.g., ``equivalence'') is innate. Although Plato argued with his contemporaries who advocated the empirical basis of knowledge, it was the Briti...
Vladimir Sloutsky
FUIN
2006
95views more  FUIN 2006»
13 years 8 months ago
Multistrategy Operators for Relational Learning and Their Cooperation
Traditional Machine Learning approaches based on single inference mechanisms have reached their limits. This causes the need for a framework that integrates approaches based on aba...
Floriana Esposito, Nicola Fanizzi, Stefano Ferilli...
MLG
2007
Springer
14 years 2 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
ICML
2005
IEEE
14 years 9 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski