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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 9 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
147
Voted
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
15 years 10 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»
15 years 3 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 4 months 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 8 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, ...