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» The Laplace-Jaynes approach to induction
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COGSCI
2002
108views more  COGSCI 2002»
14 years 10 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff
SNPD
2003
15 years 9 days ago
Deductive and Inductive Methods for Program Synthesis
The paper discusses simple functional constraint networks and a value propagation method for program construction. Structural synthesis of programs is described as an example of d...
Jaan Penjam, Elena Sanko
ICML
2009
IEEE
15 years 11 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer
ICML
2005
IEEE
15 years 11 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
15 years 11 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...