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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
144
Voted
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
131
Voted
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,...