The histograms act as an approximation of the underlying dataset. They can be used for learning, visualization, discretization, or analysis. The histograms may be built independently and merged, making them convenient for parallel and distributed algorithms. ...
Motivation: Many bioinformatics algorithms are designed for the analysis of sequences of some uniform length, conventionally referred to as k-mers. These include de Bruijn graph assembly methods and sequence alignment tools. An efficient algorithm to enumerate the number of unique k-mers, or even ...
StreamingAlgorithmsfor GeometricProblems PiotrIndyk MIT 2 Streaming:TheModel Singlepassoverthedata:e 1 ,e 2 ,…,e n Boundedstorage Fastprocessingtimeperelement 3 Recap:Normestimation Normestimation: Streamelements:(i,b),i=1…m Interpretation:x i =x i +b Wantto(1+ )-approximate||x|| p Note...
This package providesStreaming Approximate Histogramsfor efficient quantile approximations. The histograms in this package are based on the algorithms found in Ben-Haim & Yom-Tov'sA Streaming Parallel Decision Tree Algorithm(PDF). Histogram bins do not have a preset size. As values stream into the ...
You can simulate System objects with a multipixel streaming interface, but you cannot generate HDL code for System objects that use multipixel streams. To generate HDL code for multipixel algorithms, use the equivalent Simulink blocks. Supported data types can include: boolean or logical uint or ...
There are also algorithms to compute his- tograms [17, 14] and wavelet approximations [15] for the data elements in a stream. Computing quantiles has been studied [16] in the streaming model, too. Previous work in the sliding-window model [8] addresses the mainte- nance of the sum of...
How to balance, then, the inequalities caused by algorithms and those embedded in human choice behavior? Despite the egalitarian rhetoric that has been built around the platform, Twitch does not seem to provide a viable solution to this pressing issue. Methods Data sources. In this paper, ...
Though the possibility of type-2 fuzzy systems has been known for some time (Zaddeh, 1975), only recently (Mendel, 2007) have algorithms become available to calculate an IT2 output control value at video rate. The first IT2 controllers (Hagras, 2007) are now emerging, in which conversion...
The fastest streaming algorithms for your TTTR data. TTTR Toolbox can be used as a standalone Rust library. If you do most of your data analysis in Python you may prefer to check Trattoria, a wrapper library for this crate. Project Goals Single threaded performance Ease of extensibility Al...
Data streams are oftendistributed, and/or high volume, and their large rates make it infeasible to adopt centralized solutions. Hence, the applications and analytic algorithms themselves need to be distributed. High-Performance Analysis::...