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COLT
1992
Springer
15 years 10 months ago
On Learning Limiting Programs
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
John Case, Sanjay Jain, Arun Sharma
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 8 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
NIPS
1993
15 years 8 months ago
Surface Learning with Applications to Lipreading
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Christoph Bregler, Stephen M. Omohundro
COGSCI
2010
114views more  COGSCI 2010»
15 years 6 months ago
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation...
Todd M. Gureckis, Bradley C. Love
AGP
2003
IEEE
15 years 12 months ago
Interpreting Abduction in CLP
Constraint Logic Programming (CLP) and Abductive Logic Programming (ALP) share the important concept of conditional answer. We exploit their deep similarities to implement an effic...
Marco Gavanelli, Evelina Lamma, Paola Mello, Miche...