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ISMB
2000
13 years 9 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
ACL
2010
13 years 5 months ago
Temporal Information Processing of a New Language: Fast Porting with Minimal Resources
We describe the semi-automatic adaptation of a TimeML annotated corpus from English to Portuguese, a language for which TimeML annotated data was not available yet. In order to va...
Francisco Costa, António Branco
IJEIS
2010
113views more  IJEIS 2010»
13 years 5 months ago
A Good Role Model for Ontologies: Collaborations
Abstract. Ontologies are today used to annotate web data with machine processable semantics and for domain modeling. As the use of ontologies increases and the ontologies themselve...
Michael Pradel, Jakob Henriksson, Uwe Aßmann
ICCS
2007
Springer
13 years 9 months ago
Conceptual Graphs as Cooperative Formalism to Build and Validate a Domain Expertise
Abstract. This work takes place in the general context of the construction and validation of a domain expertise. It aims at the cooperation of two kinds of knowledge, heterogeneous...
Rallou Thomopoulos, Jean-François Baget, Ol...
BMCBI
2007
129views more  BMCBI 2007»
13 years 8 months ago
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
Carson M. Andorf, Drena Dobbs, Vasant Honavar