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» Using Decision Trees to Construct a Practical Parser
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STOC
1994
ACM
128views Algorithms» more  STOC 1994»
14 years 22 days ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
HICSS
2007
IEEE
139views Biometrics» more  HICSS 2007»
14 years 3 months ago
Ontology Driven CPG Authoring and Execution via a Semantic Web Framework
Clinical Practice Guidelines (CPG) are used by healthcare practitioners to standardize clinical practice and to provide evidence mediated health-care. Currently, there have been c...
Sajjad Hussain, Syed Sibte Raza Abidi
ACL
2010
13 years 6 months ago
Efficient Inference through Cascades of Weighted Tree Transducers
Weighted tree transducers have been proposed as useful formal models for representing syntactic natural language processing applications, but there has been little description of ...
Jonathan May, Kevin Knight, Heiko Vogler
ICLP
2005
Springer
14 years 2 months ago
Techniques for Scaling Up Analyses Based on Pre-interpretations
Any finite tree automaton (or regular type) can be used to construct act interpretation of a logic program, by first determinising and completing the automaton to get a pre-inter...
John P. Gallagher, Kim S. Henriksen, Gourinath Ban...
FLAIRS
2006
13 years 10 months ago
Some Second Order Effects on Interval Based Probabilities
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
David Sundgren, Mats Danielson, Love Ekenberg