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» Learning Business Process Models: A Case Study
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ICML
2004
IEEE
16 years 5 months ago
Links between perceptrons, MLPs and SVMs
We propose to study links between three important classification algorithms: Perceptrons, Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs). We first study ways to...
Ronan Collobert, Samy Bengio
148
Voted
ICRE
1998
IEEE
15 years 9 months ago
Surfacing Root Requirements Interactions from Inquiry Cycle Requirements Documents
Systems requirements errors are numerous, persistent, and expensive. To detect such errors, and focus on critical ones during the development of a requirements document, we have d...
William N. Robinson, Suzanne D. Pawlowski
IFIP12
2009
15 years 2 months ago
An Expert System Based on Parametric Net to Support Motor Pump Multi-Failure Diagnostic
Abstract Early failure detection in motor pumps is an important issue in prediction maintenance. An efficient condition-monitoring scheme is capable of providing warning and predic...
Flavia Cristina Bernardini, Ana Cristina Bicharra ...
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
15 years 11 months ago
Convergence of rule-of-thumb learning rules in social networks
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
Daron Acemoglu, Angelia Nedic, Asuman E. Ozdaglar
GPEM
2002
95views more  GPEM 2002»
15 years 4 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith