Results 251 to 260 of about 86,947 (289)

Applying Organisational Theory to Isolated, Confined and Extreme Settings

The Australian and New Zealand Journal of Organisational Psychology, 2008
AbstractResearch on person–environment fit theory has largely developed within the context of people and organisations in urban settings. There has been little research of this kind within organisations in isolated and confined contexts. The purpose of this article was to examine the implications of person–environment fit theory within the context of ...
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Open Set Deep Networks Based on Extreme Value Theory (EVT) for Open Set Recognition in Skin Disease Classification

2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), 2020
A computerized skin disease classification system generally works on closed-set data, meaning images from unknown classes will still be classified as one of the known classes. In the Teledermatology system, skin disease classes are usually defined before the training process.
Yordan Yasin, Dewinda Julianensi Rumala, Mauridhi Hery Purnomo, Anak Agung Putri Ratna, Afif Nurul Hidayati, Ingrid Nurtanio, Reza Fuad Rachmadi, I Ketut Eddy Purnama   +7 more
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Kernel extreme learning machine based on fuzzy set theory for multi-label classification

International Journal of Machine Learning and Cybernetics, 2017
Multi-label classification is a special kind of classification problem, where a single instance can be labeled to more than one class. Extreme learning machine (ELM) with kernel is an efficient method for solving both regression and multi-class classification problems.
Yanika Kongsorot, Punyaphol Horata, Pakarat Musikawan, Khamron Sunat   +3 more
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Open Set Radar HRRP Recognition Based on Random Forest and Extreme Value Theory

2018 International Conference on Radar (RADAR), 2018
Most of the progresses achieved in radar high range resolution profile (HRRP) recognition rely on the closed set condition, where the test sample is from a known class. In realistic scenario, however, the test sample may be drawn from unknown classes, which is regarded as an open set recognition task.
Yanhua Wang, Wei Chen, Jia Song, Yang Li, Xiaopeng Yang   +4 more
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Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering

Cognitive Computation, 2016
Recently, a simple and efficient learning algorithm for single hidden layer feedforward networks (SLFNs) called extreme learning machine (ELM) has been developed by G.-B. Huang et al. One key strength of ELM algorithm is that there is only one parameter, the number of hidden nodes, to be determined while it has the significantly low computational time ...
Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang   +3 more
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Massiveness of the sets of extremal functions in some problems in approximation theory

Ukrainian Mathematical Journal, 1993
The author establishes the existence of extremal functions for some problems in approximation theory and proves that the sets of functions of this sort are massive. His approach is based on the notions of category theory and the Baire theorem. He also considers the applications of his main result to problems in approximation theory.
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Covering arrays on graphs: Qualitative independence graphs and extremal set partition theory

2013
There has been a good deal of research on covering arrays over the last 20 years. Most of this work has focused on constructions, applications and generalizations of covering arrays. The main focus of this thesis is a generalization of covering arrays, covering arrays on graphs.
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Extremal Set Theory As Information Theory

Proceedings. 1991 IEEE International Symposium on Information Theory, 2005
GARGANO, Luisa, J. Körner, VACCARO, Ugo   +2 more
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An Easy Reduction of an Isoperimetric Inequality on the Sphere to Extremal Set Theory

The American Mathematical Monthly, 2000
In ancient times the extent of a city or an armed camp was often given in terms of its perimeter (so that a town would be described as requiring so many thousand paces to walk round). In the same way, according to Proclus, certain socialistic communities used to divide land so that each family received a plot of equal perimeter and it may have been in ...
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A remark on extremal sets in the theory of polynomial interpolation

Studia Scientiarum Mathematicarum Hungarica, 1974
Let the numbers x1, x2, ..., x~ (n 2) be prescribed on the interval [ ~, 1] with — I ~ x1 <x~ ~ ... ~ x,~ ~ 1. Denoting the fundamental Lagrange interpolating polynomials by 4(x), we introduce the Lebesgue function )~~(x) ~ 1(x). The question arises as how to choose the nodes x1, x~,..., x~ in such a way that max %~(x) will be as small as possible. (
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