SAMPLING METHODS IN LOG SCALING

Challenges in Converting Among Log Scaling Methods

Log - Periodic Scaling 1

It has been proposed 7]?9] that rupture processes in highly disordered media and earthquakes are similar to critical phenomena in that before they occur, long range correlations develop at many scales that lead to a cascade of events at increasingly larger scales. As a result, the precursory phenomena would be expected to follow power laws which are characteristic of critical phenomena. However...

On Exact Scaling Log-infinitely Divisible Cascades

In this paper we extend some classical results valid for canonical multiplicative cascades to exact scaling log-infinitely divisible cascades. We complete previous results on non-degeneracy and moments of positive orders obtained by Barral and Mandelbrot, and Bacry and Muzy: we provide a necessary and sufficient condition for the non-degeneracy of the limit measures of these cascades, as well a...

review of radiographic methods in dental implantology

چکیده ندارد.

Title: Adaptive Sampling Methods for Scaling up Knowledge Discovery Algorithms (extended Revised Version of Tr-c131)

Scalability is a key requirement for any KDD and data mining algorithm, and one of the biggest research challenges is to develop methods that allow to use large amounts of data. One possible approach for dealing with huge amounts of data is to take a random sample and do data mining on it, since for many data mining applications approximate answers are acceptable. However, as argued by several ...