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» Building Simple Models: A Case Study with Decision Trees
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FLAIRS
2008
13 years 10 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
SEKE
2009
Springer
14 years 2 months ago
Bridging Semantic Gaps Between Stakeholders in the Production Automation Domain with Ontology Areas
Abstract—Stakeholders from several domains with local terminologies have to work together to develop and operate softwareintensive systems, like production automation systems. On...
Stefan Biffl, Wikan Danar Sunindyo, Thomas Moser
IGARSS
2010
13 years 2 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
ANOR
2006
133views more  ANOR 2006»
13 years 7 months ago
Horizon and stages in applications of stochastic programming in finance
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Marida Bertocchi, Vittorio Moriggia, Jitka Dupacov...
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
14 years 8 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande