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AAAI
2006
15 years 3 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
107
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ACL
2003
15 years 3 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
129
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BMCBI
2007
99views more  BMCBI 2007»
15 years 2 months ago
Statistical significance of cis-regulatory modules
Background: It is becoming increasingly important for researchers to be able to scan through large genomic regions for transcription factor binding sites or clusters of binding si...
Dustin E. Schones, Andrew D. Smith, Michael Q. Zha...
140
Voted
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 2 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
ACL
2008
15 years 3 months ago
Cohesive Phrase-Based Decoding for Statistical Machine Translation
Phrase-based decoding produces state-of-theart translations with no regard for syntax. We add syntax to this process with a cohesion constraint based on a dependency tree for the ...
Colin Cherry