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» A Semantics for HTN Methods
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FAC
2010
121views more  FAC 2010»
15 years 2 months ago
Blaming the client: on data refinement in the presence of pointers
Data refinement is a common approach to reasoning about programs, based on establishing that te program indeed satisfies all the required properties imposed by an intended abstract...
Ivana Filipovic, Peter W. O'Hearn, Noah Torp-Smith...
171
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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 7 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
142
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NAACL
2010
15 years 2 months ago
Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions
We describe tree edit models for representing sequences of tree transformations involving complex reordering phenomena and demonstrate that they offer a simple, intuitive, and eff...
Michael Heilman, Noah A. Smith
NAACL
2010
15 years 2 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
ACL
2009
15 years 2 months ago
An Ontology-Based Approach for Key Phrase Extraction
Automatic key phrase extraction is fundamental to the success of many recent digital library applications and semantic information retrieval techniques and a difficult and essenti...
Chau Q. Nguyen, Tuoi T. Phan