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» Automatic Ordering of Subgoals - A Machine Learning Approach
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122
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DATE
2004
IEEE
184views Hardware» more  DATE 2004»
15 years 7 months ago
Automatic Verification of Safety and Liveness for XScale-Like Processor Models Using WEB Refinements
We show how to automatically verify that complex XScale-like pipelined machine models satisfy the same safety and liveness properties as their corresponding instruction set archit...
Panagiotis Manolios, Sudarshan K. Srinivasan
134
Voted
ICML
2004
IEEE
16 years 4 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
115
Voted
CLIN
2003
15 years 4 months ago
Reduction of Dutch Sentences for Automatic Subtitling
We compare machine learning approaches for sentence length reduction for automatic generation of subtitles for deaf and hearing-impaired people with a method which relies on hand-...
Erik F. Tjong Kim Sang, Walter Daelemans, Anja H&o...
SIGIR
2000
ACM
15 years 7 months ago
Bridging the lexical chasm: statistical approaches to answer-finding
Abstract This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The lea...
Adam L. Berger, Rich Caruana, David Cohn, Dayne Fr...
147
Voted
CVPR
2012
IEEE
13 years 5 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin