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ICPR
2010
IEEE
14 years 10 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
DEXAW
2004
IEEE
103views Database» more  DEXAW 2004»
15 years 1 months ago
An Object-Oriented Approach to GI Web Service Composition
In this paper we describe a novel approach to the incremental, semi-automated method for composition of web services in a geographical domain. First, we present the incremental co...
Carlos Granell, J. Francisco Ramos
ICDE
2006
IEEE
112views Database» more  ICDE 2006»
15 years 11 months ago
XSEED: Accurate and Fast Cardinality Estimation for XPath Queries
We propose XSEED, a synopsis of path queries for cardinality estimation that is accurate, robust, efficient, and adaptive to memory budgets. XSEED starts from a very small kernel,...
Ashraf Aboulnaga, Ihab F. Ilyas, M. Tamer Özs...
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IWANN
2009
Springer
15 years 4 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
JIPS
2010
107views more  JIPS 2010»
14 years 4 months ago
Incremental Model-based Test Suite Reduction with Formal Concept Analysis
Test scenarios can be derived based on some system models for requirements validation purposes. Model-based test suite reduction aims to provide a smaller set of test scenarios whi...
Pin Ng, Richard Y. K. Fung, Ray W. M. Kong