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» Language model adaptation using Random Forests
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SIGIR
2003
ACM
14 years 24 days ago
Table extraction using conditional random fields
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
David Pinto, Andrew McCallum, Xing Wei, W. Bruce C...
ICMLA
2008
13 years 9 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
ECCC
2007
62views more  ECCC 2007»
13 years 7 months ago
Space Hierarchy Results for Randomized and Other Semantic Models
We prove space hierarchy and separation results for randomized and other semantic models of computation with advice where a machine is only required to behave appropriately when g...
Jeff Kinne, Dieter van Melkebeek
SCM
1998
13 years 9 months ago
Coordinated Editing of Versioned Packages in the JP Programming Environment
As part of an investigation of scalable development techniques for systems written in the JavaTM programming language, the Forest Project is building JP, a prototype distributed pr...
Michael L. Van de Vanter
TYPES
2004
Springer
14 years 27 days ago
A Machine-Checked Formalization of the Random Oracle Model
Abstract. Most approaches to the formal analysis of cryptography protocols make the perfect cryptographic assumption, which entails for example that there is no way to obtain knowl...
Gilles Barthe, Sabrina Tarento