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BMCBI
2007
119views more  BMCBI 2007»
13 years 7 months ago
Conceptual-level workflow modeling of scientific experiments using NMR as a case study
Background: Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans...
Kacy K. Verdi, Heidi J. C. Ellis, Michael R. Gryk
ATAL
2009
Springer
14 years 2 months ago
Reasoning intra-dependency in commitments for robust scheduling
Commitment-modeled protocols enable flexible and robust interactions among agents. However, existing work has focused on features and capabilities of protocols without considerin...
Mingzhong Wang, Kotagiri Ramamohanarao, Jinjun Che...
ILP
1999
Springer
13 years 11 months ago
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...
Boonserm Kijsirikul, Sukree Sinthupinyo
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
AI
1999
Springer
13 years 7 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...