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ERSHOV
2006
Springer
15 years 3 months ago
A Versioning and Evolution Framework for RDF Knowledge Bases
We present an approach to support the evolution of online, distributed, reusable, and extendable ontologies based on the RDF data model. The approach works on the basis of atomic c...
Sören Auer, Heinrich Herre
CC
2012
Springer
243views System Software» more  CC 2012»
13 years 7 months ago
Sambamba: A Runtime System for Online Adaptive Parallelization
Abstract. How can we exploit a microprocessor as efficiently as possible? The “classic” approach is static optimization at compile-time, optimizing a program for all possible u...
Kevin Streit, Clemens Hammacher, Andreas Zeller, S...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 1 days ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
RIVF
2007
15 years 1 months ago
On-line Boosting for Car Detection from Aerial Images
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....
CP
2000
Springer
15 years 4 months ago
Constraint-Based Agents: The ABC's of CBA's
The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...
Alan K. Mackworth