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AAAI
1990
13 years 8 months ago
A Proven Domain-Independent Scientific Function-Finding Algorithm
Programs such as Bacon, Abacus, Coper, Kepler and others are designed to find functional relationships of scientific significance in numerical data without relying on the deep dom...
Cullen Schaffer
SEMWEB
2009
Springer
13 years 12 months ago
Semantic Provenance for Science Data Products: Application to Image Data Processing
—A challenge in providing scientific data services to a broad user base is to also provide the metadata services and tools the user base needs to correctly interpret and trust t...
Stephan Zednik, Peter Fox, Deborah L. McGuinness, ...
IJCNN
2007
IEEE
14 years 1 months ago
PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge
— Artificial neural networks have been proven to be
Hugo Jair Escalante, Manuel Montes-y-Gómez,...
DEBU
2010
128views more  DEBU 2010»
13 years 4 months ago
Panda: A System for Provenance and Data
Panda (for Provenance and Data) is a new project whose goal is to develop a general-purpose system that unifies concepts from existing provenance systems and overcomes some limita...
Robert Ikeda, Jennifer Widom
SIGMOD
2008
ACM
145views Database» more  SIGMOD 2008»
13 years 7 months ago
Provenance and scientific workflows: challenges and opportunities
Provenance in the context of workflows, both for the data they derive and for their specification, is an essential component to allow for result reproducibility, sharing, and know...
Susan B. Davidson, Juliana Freire