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» Using Random Forests in the Structured Language Model
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158
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JMLR
2012
13 years 5 months ago
Universal Measurement Bounds for Structured Sparse Signal Recovery
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
Nikhil S. Rao, Ben Recht, Robert D. Nowak
136
Voted
BMCBI
2008
114views more  BMCBI 2008»
15 years 2 months ago
Dinucleotide controlled null models for comparative RNA gene prediction
Background: Comparative prediction of RNA structures can be used to identify functional noncoding RNAs in genomic screens. It was shown recently by Babak et al. [BMC Bioinformatic...
Tanja Gesell, Stefan Washietl
DAGSTUHL
2001
15 years 4 months ago
An Overview of the GXL Graph Exchange Language
GXL (Graph eXchange Language) is designed to be a standard exchange format for graph-based tools. GXL is defined as an XML sublanguage, which offers support for exchanging instanc...
Andreas Winter, Bernt Kullbach, Volker Riediger
113
Voted
LREC
2010
166views Education» more  LREC 2010»
15 years 4 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
136
Voted
ATAL
2005
Springer
15 years 8 months ago
Protocol synthesis with dialogue structure theory
Inspired by computational linguistic approaches to annotate the structures that occur in human dialogue, this paper describes a technique which encodes these structures as transfo...
Jarred McGinnis, David Robertson, Christopher Walt...