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ESANN
2007
14 years 17 days ago
Kernel-based online machine learning and support vector reduction
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
VAMOS
2010
Springer
14 years 17 days ago
Tool Support for Incremental Consistency Checking on Variability Models
The complexity of variability models makes it hard for product line engineers to maintain their consistency over time. Engineers need support to detect and resolve inconsistencies....
Michael Vierhauser, Deepak Dhungana, Wolfgang Heid...
IC
2007
14 years 17 days ago
Native Temporal Slicing Support for XML Databases
Abstract XML databases, providing structural querying support, are becoming more and more popular. As we know, XML data may change over time and providing an efficient support to q...
Federica Mandreoli, Riccardo Martoglia, Enrico Ron...
VAMOS
2008
Springer
14 years 16 days ago
Reflective Component-based Technologies to Support Dynamic Variability
In this paper we propose an approach to support dynamic or runtime variability in systems that must adapt dynamically to changing runtime context. The approach is founded on refle...
Nelly Bencomo, Gordon S. Blair, Carlos A. Flores-C...
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
14 years 16 days ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley