نتایج جستجو برای: dimensionality index i

تعداد نتایج: 1428295  

Journal: :Journal of Marketing Communications 2017

Journal: :Chaos, Solitons & Fractals 2001

A.H. Chohedri E. Allahyari Reza Jouibar Sh. Shahbazi,

Background: Inadequate depth of anesthesia leads to release of stress hormones. Electroencephalographic monitoring by bispectral index is a guide to asses the depth of anesthesia. The aim of the present study was to measure the serum cortisol levels as an index of stress response in patients who are candidates for coronary artery bypass graft surgery in two groups of patients. Methods: Seventy-...

2000
Christian A. Lang Ambuj K. Singh

A large number of index structures for high-dimensional data have been proposed previously. In order to tune and compare such index structures, it is vital to have eecient cost prediction techniques for these structures. Previous techniques either assume uniformity of the data or are not applicable to high-dimensional data. We propose the use of sampling to predict the number of accessed index ...

2007
M. SAKELLARIADOU

Our universe is undoubtedly three-dimensional, and you may wonder why. By using a weak form of the anthropic principle, you may constrain the number of spatial dimensions to be at least equal to 3; there is no convincing argument however why it is just equal to 3, and not any other bigger, even huge, number. Clearly there is no fundamental physical principle to single out 3 spatial dimensions, ...

Journal: :The Journal of physiology 2014
Alexander V Badyaev

The age of most genes exceeds the longevity of their genomic and physiological associations by many orders of magnitude. Such transient contexts modulate the expression of ancient genes to produce currently appropriate and often highly distinct developmental and functional outcomes. The efficacy of such adaptive modulation is diminished by the high dimensionality of complex organisms and associ...

Journal: :Papers of The Bibliographical Society of Canada 1980

2006
Michail Vlachos Spiros Papadimitriou Zografoula Vagena Philip S. Yu

We propose a new representation for high-dimensional data that can prove very effective for visualization, nearest neighbor (NN) and range searches. It has been unequivocally demonstrated that existing index structures cannot facilitate efficient search in high-dimensional spaces. We show that a transformation from points to sequences can potentially diminish the negative effects of the dimensi...

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