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» Randomness and Universal Machines
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138
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COLT
1992
Springer
15 years 7 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
COLT
1991
Springer
15 years 7 months ago
Learning Probabilistic Read-Once Formulas on Product Distributions
Abstract. This paper presents a polynomial-time algorithm for inferring a probabilistic generalization of the class of read-once Boolean formulas over the usual basis {AND,OR,NOT}....
Robert E. Schapire
98
Voted
COLT
2008
Springer
15 years 5 months ago
An Efficient Reduction of Ranking to Classification
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
Nir Ailon, Mehryar Mohri
118
Voted
WSC
1997
15 years 4 months ago
Applications of Discrete Event Simulation in the Design of Automotive Powertrain Manufacturing Systems
Manufacturing automotive powertrain components (engines and transmissions) is a complex task involving the integration of hundreds of components. Simulation is commonly applied in...
Arun Jayaraman, Ali K. Gunal
ML
2006
ACM
15 years 3 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik