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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 8 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
126
Voted
ALT
2003
Springer
15 years 8 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
160
Voted
CODES
2001
IEEE
15 years 8 months ago
Hybrid global/local search strategies for dynamic voltage scaling in embedded multiprocessors
In this paper, we explore a hybrid global/local search optimization framework for dynamic voltage scaling in embedded multiprocessor systems. The problem is to find, for a multipr...
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...
MICCAI
2000
Springer
15 years 8 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
BIRTHDAY
1991
Springer
15 years 8 months ago
The Markgraf Karl Refutation Procedure
The goal of the MKRP project is the development of a theorem prover which can be used as an inference engine in various applications, in particular it should be capable of proving ...
Hans Jürgen Ohlbach, Jörg H. Siekmann
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