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KSEM
2009
Springer
15 years 11 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
ICGI
1998
Springer
15 years 8 months ago
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data
Abstract. The present paper presents a new approach of how to convert Gold-style [4] learning in the limit into stochastically finite learning with high confidence. We illustrate t...
Peter Rossmanith, Thomas Zeugmann
TKDE
2002
91views more  TKDE 2002»
15 years 4 months ago
The EVE Approach: View Synchronization in Dynamic Distributed Environments
The construction and maintenance of data warehouses (views) in large-scale environments composed of numerous distributed and evolving information sources (ISs) such as the WWW has ...
Amy J. Lee, Anisoara Nica, Elke A. Rundensteiner
CAD
2005
Springer
15 years 4 months ago
Computer-aided design of porous artifacts
Heterogeneous structures represent an important new frontier for 21st century engineering. Human tissues, composites, `smart' and multimaterial objects are all physically man...
Craig A. Schroeder, William C. Regli, Ali Shokoufa...
CORR
2011
Springer
203views Education» more  CORR 2011»
14 years 11 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...