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PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
16 years 13 days ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
CDC
2008
IEEE
16 years 11 days ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
16 years 2 days ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck
ASWEC
2005
IEEE
15 years 11 months ago
Australian Software Development: What Software Project Management Practices Lead to Success?
We surveyed a number of Australian software practitioners in order to understand what software development practices were used in their recent software projects. We were particula...
June M. Verner, Narciso Cerpa
MADNES
2005
Springer
15 years 11 months ago
Distributed Data Mining Protocols for Privacy: A Review of Some Recent Results
With the rapid advance of the Internet, a large amount of sensitive data is collected, stored, and processed by different parties. Data mining is a powerful tool that can extract ...
Rebecca N. Wright, Zhiqiang Yang, Sheng Zhong