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130
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EVOW
2003
Springer
15 years 8 months ago
Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
David Corne, Martin J. Oates, Douglas B. Kell
143
Voted
ECRTS
2000
IEEE
15 years 8 months ago
Prototyping distributed multimedia systems using communicating real-time state machines
This paper describes a methodology for the development of real-time systems and shows its application to the modeling, analysis and implementation of distributed multimedia system...
Giancarlo Fortino, Libero Nigro
114
Voted
ICC
2000
IEEE
15 years 8 months ago
Reduced-State BCJR-Type Algorithms
—In this paper, we propose a technique to reduce the number of trellis states in BCJR-type algorithms, i.e., algorithms with a structure similar to that of the well-known algorit...
Giulio Colavolpe, Gian Luigi Ferrari, Riccardo Rah...
142
Voted
C3S2E
2009
ACM
15 years 7 months ago
The promise of solid state disks: increasing efficiency and reducing cost of DBMS processing
Most database systems (DBMSs) today are operating on servers equipped with magnetic disks. In our contribution, we want to motivate the use of two emerging and striking technologi...
Karsten Schmidt 0002, Yi Ou, Theo Härder
114
Voted
ECML
2006
Springer
15 years 7 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...