نتایج جستجو برای: hierarchical stages

تعداد نتایج: 274712  

Journal: :Studies in health technology and informatics 2003
Stéphane Bruno Pascal Scalart Pierre Lutzler

We describe in this paper a smart multisensor kernel, given the shape of a wriststrap and able to characterise a current physiological state among a number of ones resulting from a previous analysis, and to transmit those results using a radio link. The main advantage of this product is its adaptability. As examples, we describe two applications which are the remote monitoring of elderly people...

Journal: :Sleep 1995
M S Mourtazaev B Kemp A H Zwinderman H A Kamphuisen

Low-frequency EEG was analyzed quantitatively during 2 nights in 40 females and 34 males aged 26 to 101 years. Analyses were based on Rechtschaffen and Kales NREM sleep stages, on absolute low-frequency amplitude (i.e. power in the range of 0.2-2.0 Hz) and on low-frequency continuity. The latter parameter describes how much (0-100%) of the current slow-wave activity is continued in the near-fut...

Journal: :Applied and Computational Harmonic Analysis 2022

A new class of measurement operators, coined hierarchical and prove results guaranteeing the efficient, stable robust recovery hierarchically structured signals from such measurements. We derive bounds on their restricted isometry properties based constants constituent matrices, generalizing extending prior work Kronecker-product As an exemplary application, we apply theory to two communication...

Journal: :ACM SIGMETRICS Performance Evaluation Review 1982

2004
RAJIV KISHORE

This paper conducts a two-period dynamic analysis of sourcing mode choices for e-commerce projects implemented by large firms during 1999–2002. We 48 KISHORE, AGRAWAL, AND RAO differentiate e-commerce assets that are the focus of a sourcing decision in terms of whether they are in the growth or maturity stages. We also consider hybrid governance mechanisms, such as minority equity arrangements,...

2013
Budi Santosa Yoyon K. Suprapto

Clustering is one of the important part in web usage miningfor the purpose of segmenting visitors. This action is very important for web personalization orweb modification. In this paper, we perform clustering of the web visitors using a combination of methods of hierarchical and non-hierarchical clustering toward web log data. Hierarchical clustering method used to determine the number of clus...

Journal: :Neuropsychologia 2011
Markus Conci Thomas Töllner Marcin Leszczynski Hermann J Müller

Object configurations can be perceptually represented at various hierarchical levels. For example, in visual search, global Kanizsa figures are detected efficiently, whereas search for local groupings is inefficient, with similarity-dependent nontarget interference arising at the hierarchical level that defines the target (Conci, Müller, & Elliott, 2007). The present study was designed to exami...

Journal: :ژورنال بین المللی پژوهش عملیاتی 0
z. rajabi s. avakh darestani

the hierarchical hub location problem is encountered three-level network that is applied in production-distribution system, education system, emergency medical services, telecommunication network, etc. this paper addresses the hierarchical hub covering problem with single assignment accounting for mandatory dispersion of central hubs restriction as a special case. this formulation with incorpor...

Journal: :J. of Management Information Systems 2005
Rajiv Kishore Manish Agrawal H. Raghav Rao

This paper conducts a two-period dynamic analysis of sourcing mode choices for e-commerce projects implemented by large firms during 1999-2002. We Journat of Management tnformation Systems /Winter 2004-5, \o\. 21, No. .1. pp. 47-82. ©2OO5M.E. Shaipe. [nc. 0742-1222 / 2005 $9.50 + 0.00. 48 KISHORE, AGRAWAL. AND RAO differentiate e-commerce assets that are the focus of a sourcing decision in term...

Journal: :International Journal on Artificial Intelligence Tools 2005
Latifur Khan Feng Luo

In this paper we introduce a new tree-structured self-organizing neural network called a dynamical growing self-organizing tree (DGSOT). This DGSOT algorithm constructs a hierarchy from top to bottom by division. At each hierarchical level, the DGSOT optimizes the number of clusters, from which the proper hierarchical structure of the underlying data set can be found. We propose a Klevel up dis...

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