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LVQ with a weighted objective function
Proceedings of ICNN'95 - International Conference on Neural Networks, 2002In 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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Weight Constraint Programs with Functions
2009In 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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Activity as a function of body weight
The American Journal of Clinical Nutrition, 1987Thirty-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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On transit functions in weighted graphs
Discrete Mathematics, Algorithms and Applications, 2017Certain 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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Weight Functions for the Notched Bar
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1971AbstractWeight 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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SRAD with Weighted Diffusion Function
2013Speckle 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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Weighted Inequalities for Monotone Functions
Mathematische Nachrichten, 1995AbstractWeighted 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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Sustained Weight Loss May Reduce Cancer Risk
Ca-A Cancer Journal for Clinicians, 2022Mike Fillon
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Global Patterns in Excess Body Weight and the Associated Cancer Burden
Ca-A Cancer Journal for Clinicians, 2019Ahmedin Jemal +2 more
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Weight Management and Physical Activity Throughout the Cancer Care Continuum
Ca-A Cancer Journal for Clinicians, 2018Wendy Demark-Wahnefried +2 more
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