18 eredmény a kulcsszóra: 'regularization of total least squares problems'
Die Neuausgabe dieses Werkes schließt eine Lücke, die nicht nur Historiker der ungarischen Geschichte als sehr schmerzlich empfunden haben dürften, da die Geschichte Ungarns im
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Érdekes dolgokat tudhattunk meg arról, hogyan jutott el odáig a két világháború közti időszakban a magyar társadalom, hogy a betegség esetén még gyak- ran
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Analytic Hierarchy Process (AHP), since its invention, has been a tool at the hands of decision makers and researchers; and it is one of the most widely used multiple
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Exercise.. by the method of least squares)! What is the slope of that line?. Answers. by the method of least squares)! What is the slope of
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Mathematica.. by the method of least squares)! What is the slope of that line?. Mathematica. by the method of least squares)! What is the slope of
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Kollár, „Generalization of a Total Least Squares Problem in Frequency Domain System Identification”, IEEE Transaction on Instru- mentation and Measurement, vol.. Pintelon,
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The generalized row sum and least squares methods are independent of irrelevant matches and self-consistent on the set of ranking problems with at most three objects R n |n ≤
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In addition to the eigenvector method, optimization based methods, such as the logarithmic least squares method and the weighted least squares method, were also
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(1992): Optimal Variable Step Size for the LMSfNewton Algorithm with Application to Subband Adaptive Filtering, IEEE Transactions on Signal Processing, Vol. (1984):
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Solution of the Least Squares Method problem of pairwise comparison matrices, Central European Journal of Operations Research 16, pp.345-358... For example, the first object is a
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Bár utólag lehet úgy is látni, hogy elkényeztetett gyerek voltam, azért nem szabad elfelejteni azt sem, hogy egy óvodásnak szüksége van a fruttiból nyert erőre, és a
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54 The existence of a female sovereign would not, therefore, contradict Pateman or Okin, who (a) acknowledge Hobbes’s claim that women are equal in the state of nature, and
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The combination of these methods leads to a sparse LS–SVM solution, which means that a smaller network – based on a subset of the training samples – is accomplished with the speed
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Beside the eigenvector method, optimization based methods such as the logarithmic least squares method and the weighted least squares method were also tested for eliciting the
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The time domain least squares approach that has been presented in this paper originated from the need to identify linear systems from input/output ex-
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This book deals with achieving and maintaining an environment of extremely low gas densities, the instrumentation for measuring extremely low pressures, the design
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