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EMNLP
2007
15 years 8 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
BMCBI
2006
216views more  BMCBI 2006»
15 years 6 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
ICSE
2008
IEEE-ACM
16 years 7 months ago
Predicting accurate and actionable static analysis warnings: an experimental approach
Static analysis tools report software defects that may or may not be detected by other verification methods. Two challenges complicating the adoption of these tools are spurious f...
Joseph R. Ruthruff, John Penix, J. David Morgentha...
WWW
2009
ACM
16 years 7 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
SIGMOD
2004
ACM
189views Database» more  SIGMOD 2004»
16 years 6 months ago
A Holistic Paradigm for Large Scale Schema Matching
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang