Results 21 to 30 of about 770,485 (338)
Universal Target Learning: An Efficient and Effective Technique for Semi-Naive Bayesian Learning
Entropy, 2019 To mitigate the negative effect of classification bias caused by overfitting, semi-naive Bayesian techniques seek to mine the implicit dependency relationships in unlabeled testing instances.
Siqi Gao +4 more
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Journal of Intelligent Systems, 2017 Recognition of signs made by deaf people to produce equivalent textual description for normal people to communicate with deaf people is an essential and challenging task for the pattern recognition and image processing research community.
Nagendraswamy H.S., Kumara B.M. Chethana
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Bautin bifurcations of a financial system
Electronic Journal of Qualitative Theory of Differential Equations, 2017 This paper is concerned with the qualitative analysis of a financial system. We focus our interest on the stability and cyclicity of the equilibria. Based on some previous results, some notes are given for a class of systems concerning focus quantities ...
Bo Sang, Bo Huang
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Power-aware scheduling of data-flow hardware circuits with symbolic control [PDF]
Archives of Control Sciences, 2021 We devise a tool-supported framework for achieving power-efficiency of data-flowhardware circuits. Our approach relies on formal control techniques, where the goal is to compute a strategy that can be used to drive a given model so that it satisfies a ...
Mete Özbaltan, Nicolas Berthier
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Proximity measures in symbolic data analysis
Statistica, 2007 The Authors consider the general problem of similarity and dissimilarity measures in Symbolic Data Analysis. First of all they examine the classical definitions of elementary event, assertion object, hierarchical dependences and logical dependences. Then
Luciano Nieddu, Alfredo Rizzi
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Selecting Informative Data Samples for Model Learning Through Symbolic Regression
IEEE Access, 2021 Continual model learning for nonlinear dynamic systems, such as autonomous robots, presents several challenges. First, it tends to be computationally expensive as the amount of data collected by the robot quickly grows in time. Second, the model accuracy
Erik Derner +2 more
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Enhanced Symbolic Description in Analyzing Patterns and Volatility on the Forex Market [PDF]
Vietnam Journal of Computer Science, 2019 In this paper, we propose a novel approach for transforming financial time-series values into symbolic representation based on value changes. Such approach seems to have few advantages over the existing approaches; one of the most obvious is noise ...
Krzysztof Kania +2 more
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Descriptive statistics for symbolic interval-valued data
The Indian Journal of Agricultural Sciences, 2014 It is, by now, well recognized that real data are in intervals and not in points. Unfortunately, classical statistical theory is not capable of handling data in intervals. Here, methodology for drawing univariate and bivariate histograms and computation
H K RANGANATH, PRAJNESHU, HIMADRI GHOSH
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An adaptation of COBWEB for symbolic data case
Statistica, 2015 The paper proposes an extension for well-known COBWEB algorithm for different symbolic variable types. This extension allows to apply symbolic variables for category utility evaluation.
Marcin Pełka
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Symbolic and non-symbolic predictors of number line task in Italian kindergarteners
Frontiers in Psychology, 2023 The number line estimation task (NLE) is often used as a predictor for broader measures of mathematical achievement. In spite of its popularity, it is still not clear whether the task is based on symbolic or non-symbolic numerical competence.
Carla Meloni +2 more
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