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» Using Random Forests in the Structured Language Model
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ACL
1997
13 years 10 months ago
A Structured Language Model
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
Ciprian Chelba
SCAM
2008
IEEE
14 years 3 months ago
Using Program Transformations to Add Structure to a Legacy Data Model
An appropriate translation of the data model is central to any language migration effort. Finding a mapping between original and target data models may be challenging for legacy l...
Mariano Ceccato, Thomas Roy Dean, Paolo Tonella
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 9 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
BMCBI
2005
60views more  BMCBI 2005»
13 years 8 months ago
PHACCS, an online tool for estimating the structure and diversity of uncultured viral communities using metagenomic information
Background: Phages, viruses that infect prokaryotes, are the most abundant microbes in the world. A major limitation to studying these viruses is the difficulty of cultivating the...
Florent Angly, Beltran Rodriguez-Brito, David Bang...
NIPS
2004
13 years 10 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...