A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Approximate Computing
2022
it - Information Technology
Preserved Fulltext
This greatly hinders the idea of Edge Computing, where computations are carried out on cheap, small and often battery powered devices "on the edge", i. e. in the field. ...
Fortunately, many practical applications can tolerate a certain degree of incorrectness in computations. ...
These opportunities for incorrectness are exploited by the Approximate Computing design paradigm. ...
doi:10.1515/itit-2022-0027
fatcat:2afjt4su45e5bophbdsrotgx6q
Approximate Computing, Intelligent Computing
2018
IEEE Micro
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Ravi Nair further argues that approximate computing could be considered intelligent computing, because it uses energy resources to perform exact computation only when needed and approximate whenever possible ...
Over the past couple years, approximate computing emerged as a novel computing systems paradigm that trades off quality for efficiency. ...
doi:10.1109/mm.2018.043191119
fatcat:mlpbh5jnybc3felb7dg6uly7fy
Approximate Bayesian Computation
2013
PLoS Computational Biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics. ...
This is a "Topic Page" article for PLOS Computational Biology. History The first Approximate Bayesian computation (ABC)-related ideas date back to the 1980s. ...
This article started as assignment for the graduate course ''Reviews in Computational Biology'' (263-5151-00L) at ETH Zurich. ...
doi:10.1371/journal.pcbi.1002803
pmid:23341757
pmcid:PMC3547661
fatcat:y4ooxahn2nh6dlib7d45uzycfm
Hardware approximate computing
2017
Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion - CASES '17
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
To this end, this paper discusses an open source toolkit, called iACT (Intel's Approximate Computing Toolkit) to analyze and study the scope of approximations in applications. ...
As an example on how to use this toolkit, we include two different applications and analyze the scope of approximate computing in these. ...
Why study approximate computing now? ...
doi:10.1145/3125501.3125518
dblp:conf/cases/SaadatP17
fatcat:iqovqqqtbze2npgh4ysmrx3p4m
Approximating the Likelihood in Approximate Bayesian Computation
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This chapter will appear in the forthcoming Handbook of Approximate Bayesian Computation (2018). ...
The conceptual and methodological framework that underpins approximate Bayesian computation (ABC) is targetted primarily towards problems in which the likelihood is either challenging or missing. ...
Introduction Approximate Bayesian computation (ABC) is now a mature algorithm for likelihood-free estimation. ...
arXiv:1803.06645v1
fatcat:yyzawutmkfefbfq3rdvsueawqe
Defensive Approximation: Securing CNNs using Approximate Computing
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We show that our approximate computing implementation achieves robustness across a wide range of attack scenarios. ...
In this paper, we propose for the first time to use hardware-supported approximate computing to improve the robustness of machine learning classifiers. ...
Approximate Computing The speed of new generations of computing systems, from embedded and mobile devices to servers and computing data centers, has been drastically climbing in the past decades. ...
arXiv:2006.07700v2
fatcat:k4x7ntzlrrb6vdkluhx46wlsze
Approximate Bayesian computation methods
2012
Statistics and computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This issue is proposing a Special Issue on Approximate Bayesian Computation (ABC) methods, which has not been conceived according to this scheme. ...
The project of this special issue simply rises because, since early 2010, Statistics and Computing has received a lot of submissions on this new topic of computational statistics. ...
McCoy propose an ABC approximation to perform biased filtering for a hidden Markov model when the likelihood function is intractable. ...
doi:10.1007/s11222-012-9350-8
fatcat:wtasjl42zvb63pgff54dkibq6i
Approximation Bayesian computation
English
2013
OA Genetics
English
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Approximation Bayesian computation [ABC] is an analysis approach that has arisen in response to the recent trend to collect data that is of a magnitude far higher than has been historically the case. ...
This conflict has led to the rise of an alternative approach called approximate Bayesian computation (ABC). ...
This review discusses the approximate Bayesian computational approach.
Discussion The author has referenced some of his own studies in this review. ...
doi:10.13172/2054-197x-1-1-853
pmid:25606346
pmcid:PMC4297650
fatcat:w7rgrdamnrhuharbtyedofpb2i
Computing Approximate Statistical Discrepancy
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
First compute random samples N and S of size O( 1 ε log 1 ε ) and O( 1 ε 2 ) respectively. ...
That is, in each of O(1/ε d ) grid cells, we compute the sum of counts for all grid cells with smaller or equal indexes in each dimension. ...
At depth i in the recurrence we compute the grid (Lemma 15 with parameter i), and find the grid spanning rectangle (Lemma 17 with = r/2 i ), which implies that The dominant term is then the preprocessing ...
arXiv:1804.11287v3
fatcat:eiebvpzyerhejiiqq5fp77z7xa
Adaptive approximate Bayesian computation
2009
Biometrika
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2009 pre-print arXiv:0805.2256v8 fatcat:war67fjl2nh5big3jrda2bpfweOther Versions
While this method is based upon the theoretical works of Del Moral et al. (2006), the application to approximate Bayesian computation results in a bias in the approximation to the posterior. ...
Sequential techniques can enhance the efficiency of the approximate Bayesian computation algorithm, as in Sisson et al.'s (2007) partial rejection control version. ...
cost of this step of the population Monte Carlo approximate Bayesian computation algorithm is in O(T N 2 ). ...
doi:10.1093/biomet/asp052
fatcat:atzdxxkhdbhn5e2nh673qfqufy
Computing Approximate Statistical Discrepancy
2018
International Symposium on Algorithms and Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We develop general algorithms for this approximation problem for range spaces with bounded VC-dimension, as well as significant improvements for specific geometric range spaces defined by balls, halfspaces ...
I S A A C 2 0 1 8
32:8 Computing Approximate Statistical Discrepancy Interval Preprocessing and Merging. ...
When Φ is
32:2 Computing Approximate Statistical Discrepancy replaced with a statistically motivated form [12, 13] , then this task (typically focusing on disks or rectangles) is the core subroutine ...
doi:10.4230/lipics.isaac.2018.32
dblp:conf/isaac/MathenyP18
fatcat:unikkzbwn5hczleph3ftzp5ave
Computing approximate PSD factorizations
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We give an algorithm for computing approximate PSD factorizations of nonnegative matrices. ...
The running time of the algorithm is polynomial in the dimensions of the input matrix, but exponential in the PSD rank and the approximation error. ...
Our main result is a polynomial time algorithm to compute approximate factorizations of matrices with fixed PSD rank. ...
arXiv:1602.07351v1
fatcat:tk7eiurlbjg3lbraxsqrioqym4
Computing Approximate PSD Factorizations
2016
International Workshop on Approximation Algorithms for Combinatorial Optimization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We give an algorithm for computing approximate PSD factorizations of nonnegative matrices. ...
The running time of the algorithm is polynomial in the dimensions of the input matrix, but exponential in the PSD rank and the approximation error. ...
Our main result is a polynomial time algorithm to compute approximate factorizations of matrices with fixed PSD rank. ...
doi:10.4230/lipics.approx-random.2016.2
dblp:conf/approx/BasuD016
fatcat:h3qwc2ztsbfqbda4s5tiks6hue
Approximate Bayesian Computational methods
[article]
2011
arXiv
pre-print
Preserved Fulltext
The Internet Archive has a preservation copy of this work in our general collections.
The file type is application/pdf.
Other Versions
Also known as likelihood-free methods, approximate Bayesian computational (ABC) methods have appeared in the past ten years as the most satisfactory approach to untractable likelihood problems, first in ...
It was first proposed in population genetics by Tavaré et al (1997) , who introduced approximate Bayesian computational methods as a rejection technique bypassing the computation of the likelihood function ...
Tolerance threshold and ABC approximation error As noted above, the choice of the tolerance level ε is mostly a matter of computational power: smaller ε's are associated with higher computational costs ...
arXiv:1101.0955v2
fatcat:5yp23zu7pferxfep7y7uf6aj64
Towards Approximate Mobile Computing
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This novel way of thinking about computation is termed Approximate Computing (AC) and promises to reduce resource usage, while ensuring that satisfactory performance is delivered to end-users. ...
Mobile computing is one of the main drivers of innovation, yet the future growth of mobile computing capabilities remains critically threatened by hardware constraints, such as the already extremely dense ...
STARTING POINT -CONVENTIONAL APPROXIMATE COMPUTING A range of approximate computing techniques (ACTs) operating at all levels of the computing stack have been developed in the last ten years [5] ,. ...
arXiv:1901.08972v1
fatcat:qpaez6ncazf6nf5qbxn3tllriy
« Previous
Showing results 1 — 15 out of 4,799,651 results