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ICPR
2010
IEEE
16 years 2 months ago
A Graph Matching Algorithm using Data-Driven Markov Chain Monte Carlo Sampling
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
Jungmin Lee, Minsu Cho, Kyoung Mu Lee
EUROCAST
2009
Springer
143views Hardware» more  EUROCAST 2009»
16 years 2 months ago
Fitting Rectangular Signals to Time Series Data by Metaheuristic Algorithms
Abstract. In this work we consider the application of metaheuristic algorithms to the problem of fitting rectangular signals to time-data series. The application background is to ...
Andreas M. Chwatal, Günther R. Raidl
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 7 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
16 years 1 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
CONCUR
2012
Springer
13 years 10 months ago
Linearizability with Ownership Transfer
Abstract. Linearizability is a commonly accepted notion of correctness for libraries of concurrent algorithms. Unfortunately, it assumes a complete isolation between a library and ...
Alexey Gotsman, Hongseok Yang