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» Using Random Forests in the Structured Language Model
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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
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 3 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
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
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...