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» Using a neural network in the software testing process
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ICSE
2000
IEEE-ACM
15 years 7 months ago
Software engineering and performance: a road-map
Software engineering has traditionally focussed on functional requirements and how to build software that has few bugs and can be easily maintained. Most design approaches include...
Rob Pooley
111
Voted
ICANN
2007
Springer
15 years 10 months ago
Selection of Basis Functions Guided by the L2 Soft Margin
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
Ignacio Barrio, Enrique Romero, Lluís Belan...
171
Voted
IJCNN
2006
IEEE
15 years 10 months ago
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
Ting Yu, Tony Jan, John K. Debenham, Simeon J. Sim...
RSFDGRC
2005
Springer
15 years 9 months ago
Intelligent Algorithms for Optical Track Audio Restoration
Abstract. The Unpredictability Measure computation algorithm applied to psychoacoustic model-based broadband noise attenuation is discussed. A learning decision algorithm based on ...
Andrzej Czyzewski, Marek Dziubinski, Lukasz Litwic...
IDEAL
2004
Springer
15 years 9 months ago
Summarizing Time Series: Learning Patterns in 'Volatile' Series
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
Saif Ahmad, Tugba Taskaya-Temizel, Khurshid Ahmad