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Savant: Automatic parallelization of a scheduling heuristic with machine learning
2013
2013 World Congress on Nature and Biologically Inspired Computing
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This paper investigates the automatic parallelization of a heuristic for an NP-complete problem, with machine learning. ...
The objective is to automatically design a new concurrent algorithm that finds solutions of comparable quality to the original heuristic. ...
CONCLUSIONS This paper investigated the possibility of automatically parallelizing a heuristic for a combinatorial optimization problem. ...
doi:10.1109/nabic.2013.6617837
dblp:conf/nabic/PinelBDK13
fatcat:uy2fv4wreney5p6b37pc25eboe
Learning for Optimization with Virtual Savant
2022
Memoria Investigaciones en Ingeniería
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This article explores Virtual Savant, a paradigm that combines machine learning and parallel computing to solve optimization problems. ...
In analogy to the Savant Syndrome, Virtual Savant extracts patterns from previously-solved instances to learn how to solve a given problem in a massively-parallel fashion. ...
This article deals with VS, a novel paradigm that takes advantage of machine learning and parallel computing to address complex optimization problems [7] . ...
doi:10.36561/ing.22.4
doaj:9f24ef6eed604142906b28a2930f7665
fatcat:zxjxvt6hbjcujflkdqj63zvbfe
Virtual Savant for the Knapsack Problem: learning for automatic resource allocation
Виртуальный Эрудит для решения задачи о рюкзаке: обучение автоматическому распределению ресурсов
2019
Proceedings of the Institute for System Programming of RAS
Виртуальный Эрудит для решения задачи о рюкзаке: обучение автоматическому распределению ресурсов
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Virtual Savant is a novel soft computing method that uses machine learning techniques to compute solutions to a given optimization problem. ...
Virtual Savant aims at learning how to solve a given problem from the solutions computed by a reference algorithm, and its design allows taking advantage of modern parallel computing infrastructures. ...
The work of Renzo Massobrio and Sergio Nesmachnow is partly supported by ANII and PEDECIBA, Uruguay. The work of Renzo Massobrio is partly supported by Fundación Carolina, Spain. ...
doi:10.15514/ispras-2019-31(2)-2
fatcat:524qt7bjyjdrpae5fee4ytrfbq
Editorial: Special Issue on «Advanced Computing: from Theory to Practice»
Предисловие к специальному выпуску «Продвинутые компьютерные методы: от теории к практике»
2019
Proceedings of the Institute for System Programming of RAS
Предисловие к специальному выпуску «Продвинутые компьютерные методы: от теории к практике»
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of a novel soft computing method Virtual Savant that uses machine learning techniques to compute solutions to a given optimization problem. ...
It learns from a reference algorithm to generate a new program that can solve the same optimization problem in a massively parallel fashion. ...
doi:10.15514/ispras-2019-31(2)-0
fatcat:7inmpcpc5rb2taiomnrcgwzkwi
A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing [Review Article]
2015
IEEE Computational Intelligence Magazine
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Individuals and small organizations can benefit from using state-of-the-art services and infrastructure, while large companies are attracted by the flexibility and the speed with which they can obtain ...
However, the environmental impact and legal aspects of cloud solutions pose additional challenges. ...
ACKNOWLEDGMENTS This work has been partially funded by FNR and CNRS INTER/CNRS/11/03/Green@Cloud project, FNR and NCBiR INTER/IS/6466384/ISHOP project, FNR and Tri-ICT with the AFR contract no. 1315254 ...
doi:10.1109/mci.2015.2405351
fatcat:nuxavfk5ezdzdlebbcrdawpyli
Book reports
2002
Computers and Mathematics with Applications
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The purposes of learning theory. I. Learning algorithms. 2. Kernel classifiers from a machine learning perspective. 2.1. Learning by risk minimization. 2.2.1. ...
Adaptive margin machines. 2.5.1. Assessment of learning algorithms. 2.5.2. Leave-one-out machines. 2.5.3. Pitfalls of minimizing a leave-oneout bound. 2.5.4. Adaptive margin machines. 2.6. ...
doi:10.1016/s0898-1221(02)00272-9
fatcat:dlkuzp6p5nbilivckq5ezj5cbe
Eye on the Prize
1995
The AI Magazine
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needed—to learn expertness in problem This shift has been encouraged by a number
areas by learning problem-specific of factors, not the least of which is the alleged
heuristics ...
It is interesting to note that even
McCarthy (1990) calls commonsense—with- with these general goals, the SOAR architecture
out it they are idiot savants. ...
doi:10.1609/aimag.v16i2.1129
dblp:journals/aim/Nilsson95
fatcat:da3e5qpygzelze3le5hif5ncny
Amanuensis: The Programmer's Apprentice
[article]
2018
arXiv
pre-print
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Over time these savants learn cognitive strategies (domain-relevant problem solving skills) and develop intuitions (heuristics and the experience necessary for applying them) by learning from their expert ...
This document provides an overview of the material covered in a course taught at Stanford in the spring quarter of 2018. ...
Over time these savants learn cognitive strategies (domain-relevant problem solving skills) and develop intuitions (heuristics and the experience necessary for applying them) by learning from their expert ...
arXiv:1807.00082v2
fatcat:piwexqa2xvgg5ec5xwkswstswy
Entity disambiguation in anonymized graphs using graph kernels
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
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A motivating example is the name Chris Anderson, which could either refer to Chris Anderson, the curator of TED Talks, or Chris Anderson, the former editor-in-chief of WIRED Magazine. ...
Both individuals work in overlapping fields, and deciding whom is referred to could be a difficult task, even when considering context. ...
A word of thanks goes to Devdatt Dubhashi for providing helpful comments and curiosity in the work. ...
doi:10.1145/2505515.2505565
dblp:conf/cikm/HermanssonKJJD13
fatcat:vazawm2ix5b5zbw2hvkzdvzcju
Impressões dos professores em formação continuada sobre Resolução de Problemas na Educação Básica
2018
Em Extensão
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. _ C C/"' { Finally, the past decade has wimessed the emergence of various automatizing devices, teaching machines, to aid in teaching. ...
Assume a child is presented with a pinball machine which bounces a ball off a wall at an angle. ...
doi:10.14393/ree-v17n12018-art02
fatcat:oeovvvqfejaotldmq7vp35tsti
Effective web crawling
2005
SIGIR Forum
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We also propose several mechanisms for server cooperation to reduce network traffic and improve the representation of a Web page in a search engine with the help of Web site managers. ...
We start by designing a new model and architecture for a Web crawler that tightly integrates the crawler with the rest of the search engine, providing access to the metadata and links of the documents ...
We also learned that for a good scheduling using a file with meta-data, the important search engine parameter is not the minimum re-visiting period, but the maximum acceptable outdated probability; otherwise ...
doi:10.1145/1067268.1067287
fatcat:kxnfz2jiifhdphoccit4rbzule
Papers read at the 26th Annual Meeting of the Psychonomic Society
1985
Bulletin of the Psychonomic Society
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Hotel Reservations A room reservation card for the hotel is enclosed with this program. Please make your room reservations promptly by returning the completed card to the hotel. ...
Availability of our room block and the special rates are guaranteed only to those whose reservation cards are received three weeks prior to the meeting. ...
Further studies have revealed a striking asymmetry, which suggests that search for the presence of a visual primitive is automatic and parallel, whereas search for the absence of thesame feature is serial ...
doi:10.3758/bf03329844
fatcat:pxwbe5wuizcybb3k5konrlfn6a
Biological Blueprints for Next Generation AI Systems
[article]
2019
arXiv
pre-print
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With recent advances in machine learning and artificial neural networks, many neuroscientists are partnering with AI researchers and machine learning experts to analyze data and construct models. ...
This paper attempts to demonstrate the value of such collaborations by providing examples of how insights derived from neuroscience research are helping to develop new machine learning algorithms and artificial ...
Neural Turing Machines coupled with reinforcement learning are capable of learning simple programs [78] . ...
arXiv:1912.00421v1
fatcat:4drdwdgdwnf57b6b4agnzftyhe
Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence (review)
2004
Canadian journal of sociology
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The cyborg, remember, was to be a human agent with some additional, machine-controlled, layers of automatic (homeostatic) functioning, allowing her to survive in alien or inhospitable environments. ...
Instead of trying, ponderously and improbably, to rig our machines to "read our minds," we simply open a new channel and allow our brains to learn to control the machines. ...
doi:10.1353/cjs.2004.0038
fatcat:w4y2rzpakbcgbivjhpsbizvmzu
Genetic Programming III - Darwinian Invention and Problem Solving
1999
Evolutionary Computation
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Special thanks goes to our reviewers, who stuck with us through a major reorganization of the book and provided insightful and useful comments. ...
Acknowledgments We would like to acknowledge the help of our editor, Denise Penrose, and that of Edward Wade and Emilia Thiuri, at Morgan Kaufmann Publishers. ...
Other schedules, such as variable and fixed interval and ratio schedules, resulted in characteristic patterns of learning. ...
doi:10.1162/evco.1999.7.4.451
fatcat:27732t6mfvgt7mzpbvkrv6wcqm
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