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LVQ with a weighted objective function

Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
In competitive learning neural network, pattern clustering is one of the main research areas. Many competitive neural networks are based on vector quantization. Depending on the method of choosing the representative weight vectors, competitive neural networks have a great variety of algorithms.
Su Jeong You, Chong-Ho Choi
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Note on Construction of Weight Functions

SIAM Journal on Mathematical Analysis, 1979
It is well known that the zeros of successive orthogonal polynomials, associated with a nonnegative weight function, are interlaced. Conversely, any two polynomials with interlaced zeros may be regarded as orthogonal polynomials associated with a nonnegative weight function. A simple construction of such a weight function is given.
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Weight Constraint Programs with Functions

2009
In this paper we consider a new class of logic programs, called weight constraint programs with functions, which are lparse programs incorporating functions over non-Herbrand domains. We define answer sets for these programs and develop a computational mechanism based on loop completion. We present our results in two stages.
Yisong Wang 0004   +3 more
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Neuromuscular function in weight-trainers

Experimental Neurology, 1983
Electrophysiologic measurements were made on the median-innervated thenar muscles and triceps surae in 17 weight-trainers (bodybuilders and weight-lifters) and in control subjects. In the median-innervated thenar muscles, the weight-trainers presented normal values for motor unit counts, reflex potentiation, and twitch contractile properties; however ...
D G, Sale   +3 more
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On transit functions in weighted graphs

Discrete Mathematics, Algorithms and Applications, 2017
Certain types of transit functions are studied in this paper. Strong intervals and strong gates are introduced. Since there are different metrics available in weighted graphs, different intervals can be studied. Strong intervals and strong convexity arising out of strong geodesics are considered and as a consequence the concept of gate is introduced ...
M. V. Dhanyamol, Sunil Mathew
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SRAD with Weighted Diffusion Function

2013
Speckle Reducing Anisotropic Diffusion, SRAD, is a multiplicative noise reduction method. In highly speckled environment, SRAD occasionally produces over-smoothed, dislocated/broadened edge lines and inadequate de-noising on homogeneous image regions where the speckles are well developed.
Asaduzzaman Babu, Mahmoud R. El-Sakka
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The Concentration Function of Additive Functions with Special Weight

Mathematical Notes, 2004
The authors continue their previous paper [Math. Notes 75, No. 6, 819--835 (2004); translation from Mat. Zametki 75, No. 6, 877--894 (2004; Zbl 1067.11059)]. Suppose that \(g(n)\) is an additive real-valued function, \[ W(N) = 4+\min_\lambda\left(\lambda^2 +\sum_ ...
Timofeev, N. M., Khripunova, M. B.
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Weighted Inequalities for Monotone Functions

Mathematische Nachrichten, 1995
AbstractWeighted norm inequalities are investigated by giving an extension of the Riesz convexity theorem to semi‐linear operators on monotone functions. Several properties of the classes B(p, n) and C(p, n) introduced by Neugebauer in [13] are given. In particular, we characterize the weight pairs w, v for which \documentclass{article}\pagestyle{empty}
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Activity as a function of body weight

The American Journal of Clinical Nutrition, 1987
Thirty-one undergraduate men and women who weighed more (overweight) or who weighed less (underweight) than the normal weight limits for their height wore actometers on all four limbs 24 h each day for 14 consecutive days. All groups were found to be equally active.
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Weight Functions for the Notched Bar

ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1971
AbstractWeight functions for the notched bar are presented in such a form, that stress intensity factors for all kinds of symmetric loading can be easily computed by slide rule.
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