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COLT
1993
Springer
13 years 9 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
ECAL
2007
Springer
13 years 9 months ago
An Analysis of the Effects of Lifetime Learning on Population Fitness and Diversity in an NK Fitness Landscape
This paper examines the effects of lifetime learning on the diversity and fitness of a population. Our experiments measure the phenotypic diversity of populations evolving by purel...
Dara Curran, Colm O'Riordan, Humphrey Sorensen
ICALT
2005
IEEE
13 years 11 months ago
Designing Educational Technology for Developing Regions: Some Preliminary Hypotheses
Based on our findings from an ongoing pilot with shared computers in rural primary schools in Uttar Pradesh, India since 2001 and two follow-up field studies in the same schools i...
Matthew Kam, Divya Ramachandran, Urvashi Sahni, Jo...
ECCV
2004
Springer
14 years 7 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ACL
2008
13 years 6 months ago
Exploiting N-best Hypotheses for SMT Self-Enhancement
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li