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» Structured Relation Discovery using Generative Models
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EMNLP
2009
15 years 11 days ago
A Joint Language Model With Fine-grain Syntactic Tags
We present a scalable joint language model designed to utilize fine-grain syntactic tags. We discuss challenges such a design faces and describe our solutions that scale well to l...
Denis Filimonov, Mary P. Harper
116
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BMCBI
2006
140views more  BMCBI 2006»
15 years 2 months ago
SNP-PHAGE - High throughput SNP discovery pipeline
Background: Single nucleotide polymorphisms (SNPs) as defined here are single base sequence changes or short insertion/deletions between or within individuals of a given species. ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
123
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ECBS
2004
IEEE
93views Hardware» more  ECBS 2004»
15 years 6 months ago
Domain Independent Generative Modeling
Model Integrated Computing employs domainspecific modeling languages for the design of Computer Based Systems and automatically generates their implementation. These system models...
Branislav Kusy, Ákos Lédeczi, Miklos...
95
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DIS
1998
Springer
15 years 6 months ago
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems
SDS2 is a system to discover and identify the quantitative model consisting of simultaneous equations re ecting the rst principles underlying the objective process through experi...
Takashi Washio, Hiroshi Motoda
ICML
2007
IEEE
16 years 3 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney