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» Process modeling paradigms: an evaluation
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ITIIS
2010
138views more  ITIIS 2010»
15 years 17 days ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
AGILEDC
2003
IEEE
15 years 11 months ago
YP and Urban Simulation: Applying an Agile Programming Methodology in a Politically Tempestuous Domain
YP is an agile programming methodology that has evolved over the past 15 years. Many of its features are common to other agile methodologies; its novel features include using a hi...
Bjørn N. Freeman-Benson, Alan Borning
BMCBI
2008
124views more  BMCBI 2008»
15 years 5 months ago
Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease
Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified diffe...
Rob Jelier, Peter A. C. 't Hoen, Ellen Sterrenburg...
WWW
2009
ACM
16 years 6 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
ICML
1999
IEEE
16 years 6 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan