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» A Quality Model for Evaluating Feature Models
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GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
15 years 5 months ago
Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
Brian S. Mitchell, Spiros Mancoridis
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
15 years 6 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...
PAMI
2008
189views more  PAMI 2008»
14 years 12 months ago
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
Mathias Ortner, Xavier Descombes, Josiane Zerubia
ICML
2000
IEEE
16 years 21 days ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
ITNG
2010
IEEE
15 years 4 months ago
QARI: Quality Aware Software Deployment for Wireless Sensor Networks
Abstract--If we are to deploy sensor applications in a realistic business context, we must provide innovative middleware services to control and enforce required system behavior; i...
Wouter Horré, Sam Michiels, Wouter Joosen, ...