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.
Filters
Machine Learned Learning Machines
[article]
2017
arXiv
pre-print
Preserved Fulltext
Other Versions
There are two common approaches for optimizing the performance of a machine: genetic algorithms and machine learning. ...
Our focus is on machines that can learn during their lifetime, but instead of equipping them with a machine learning algorithm we aim to let them evolve their ability to learn by themselves. ...
would typical machine learning tools perform if challenged with the task presented here? ...
arXiv:1705.10201v2
fatcat:kmnkw3debrbhtj5o6bd2z5kc4a
Machines Learning Values
[chapter]
2020
Ethics of Artificial Intelligence
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.
It argues that our best hope may thus be to design any potential superintelligence to learn values like ours. This "value learning" approach to AI safety faces three philosophical problems. ...
Third, there is the distinctly ethical question of which values we should best aim for the system to learn. ...
Obviously, this miktotelic proposal for machines learning values is-like much philosophical work-just the barest outline of how to proceed. ...
doi:10.1093/oso/9780190905033.003.0015
fatcat:lqsojnzq2jgb3foyubexjdcbaa
Learning machine learning
2018
Communications of the ACM
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.
Learning machine learning Machine learning a given variable, such as invariant mass. ...
Résumé
C E R N C our ier J ul y/Augu s t 2 0 18 Machine learning ...
doi:10.1145/3286868
fatcat:fuxvgt2bonfrtp5yggmyhmyhlm
Beyond Machine Learning: Autonomous Learning
2016
Proceedings of the 8th International Joint Conference on Computational Intelligence
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.
We propose a number of characteristics that make humans more autonomous than machines when they learn. ...
We also suggest that introducing these characteristics in the domain of Machine Learning is a critical challenge for future intelligent systems. ...
neural systems could orient Machine Learning toward Autonomous Machine Learning. ...
doi:10.5220/0006090300970101
dblp:conf/ijcci/Alexandre16
fatcat:knsisco7yjdb5h7id6cmyihmwa
Machine Learning
[chapter]
2015
Efficient Learning Machines
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.
To create something in the image of nature is to create a machine, and it was by learning the inner working of nature that man became a builder of machines. ...
Chapter 1 ■ MaChine Learning 2 The learning process plays a crucial role in generalizing the problem by acting on its historical experience. ...
Developing a Learning Machine Machine learning aids in the development of programs that improve their performance for a given task through experience and training. ...
doi:10.1007/978-1-4302-5990-9_1
fatcat:5hwjpdcxb5ctlavhtw3iql2oei
Learning Machines
1966
Computer journal
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.
Book Review Learning Machines, by Nils J. Nilsson, 1965; 132 pages. (Maidenhead: McGraw-Hill Publishing Company, Ltd., 80s .) ...
In most non-trivial applications it will therefore be necessary to process the input data before presenting it to the learning machine. ...
doi:10.1093/comjnl/9.1.26
fatcat:yvrrnuoay5euld645wcqtdlmgm
Machine Learning
[chapter]
2014
Encyclopedia of Social Network Analysis and Mining
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.
If you don't already know it, learn it: it is the most important equation in machine learning. ...
This is sufficient to make trees seem attractive for machine learning. ...
Chapman & Hall/CRC Machine Learning & Pattern Recognition Series ...
doi:10.1007/978-1-4614-6170-8_100067
fatcat:dmen3wa2gzd6jnzlxgudyscbm4
Machine Learning
[chapter]
2017
Elements of Robotics
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.
Textbooks on machine learning techniques are [1, 3] . ...
The following presentation is abstract and will be easier to understand if read together with the numerical example in Sect. 14.2.5.14.2 Linear Discriminant Analysis
Machine Learning
See Appendix ...
doi:10.1007/978-3-319-62533-1_14
fatcat:cblpd54r3bbdnbsfvaci5iy3yu
Machine Learning
2020
Controlling: Zeitschrift fuer erfolgsorientierte Unternehmenssteuerung
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 2022; you can also visit the original URL.
The file type is application/pdf.
Machine Learning im Zeitalter des Datenüberflusses Der Begriff Machine Learning beschreibt die Entwicklung von Algorithmen, die Wissen aus Daten extrahieren können, um Lösungen für individuelle Problemstellungen ...
/Mirjalili, V., Machine Learning mit Python und Scikit-learn und TensorFlow, 2. Aufl., Frechen 2018. Satzger, G./Enders, T./Reimer, N., Künstliche Intelligenz: Löst Watson den Controller ab? ...
doi:10.15358/0935-0381-2020-2-65
fatcat:rn5zgy4b7rc3dceiemhlrh5vjm
Industrial Machine Learning Is Not Academic Machine Learning
2018
Zenodo
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.
Keywords Industrial Machine learning, deploying models. ...
Introduction We present the best practices for deploying a machine learning model into production. ...
doi:10.5281/zenodo.1184549
fatcat:bsuwunn5urblfjuv7l37nifsma
Econometrics and Machine Learning
Économétrie et Machine Learning
2019
Economics and Statistics
Économétrie et Machine Learning
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.
Econometrics set out to build probabilistic models designed to describe economic phenomena, while machine learning uses algorithms capable of learning from their mistakes, generally for classification ...
On the face of it, econometrics and machine learning share a common goal: to build a predictive model, for a variable of interest, using explanatory variables (or features). ...
Machine learning techniques are more recent. ...
doi:10.24187/ecostat.2018.505d.1970
fatcat:2w64tqoqufcrllnlzgld2wbavi
Supervised learning in physical networks: From machine learning to learning machines
[article]
2020
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
Materials and machines are often designed with particular goals in mind, so that they exhibit desired responses to given forces or constraints. ...
Crucially, we require coupled learning to be facilitated by physically plausible learning rules, meaning that learning requires only local responses and no explicit information about the desired functionality ...
Trained flow networks classify digits with high accuracy, on par with simple machine learning algorithms. ...
arXiv:2011.03861v1
fatcat:h7hputjwp5b4npg2hyjnwf3goe
Large-Scale Machine Learning on Debugging Machine Learning Systems
2019
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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 short article summarizes a dozen critical classes that device understanding scientists and practitioners have learned. ...
The European Machine Learning Toolbox project are intended for use by machine learning researchers and programmers developing and evaluating machine learning schemes, while the Emerald system is designed ...
The WEKA workbench is flexible enough to be used as in a machine learning research role, and has also been used successfully in undergraduate courses teaching machine learning. ...
doi:10.32628/cseit195396
fatcat:md4diywayvasnhf7m3ww7o7774
Learning to learn: From smart machines to intelligent machines
2008
Pattern Recognition Letters
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.
For this purpose, we make a review of different learning strategies and context types that are involved in the learning process. ...
Since its birth, more than five decades ago, one of the biggest challenges of artificial intelligence remained the building of intelligent machines. ...
The questions we face at this moment are: Why we pretend the machines have the ability to learn? Why do we not design a machine which has the desired functionality from the very beginning? ...
doi:10.1016/j.patrec.2007.09.003
fatcat:m4op4pvhczdppld4pdxpb566bi
Is Machine Learning Real Learning?
2019
Center for Educational Policy Studies Journal
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.
– reject the claim that machine learning is real learning. ...
Some experts in the field of machine learning, which is a subset of artificial intelligence, claim that machine learning is in fact learning and not something else, while some others – including philosophers ...
A possible answer to the paper's title "Do Machine-Learning Machines Learn?" is that a machine that machine learns by definition learns, since "learn" appears in "machine learn". ...
doi:10.26529/cepsj.709
fatcat:y3kruo7kwnajbdvyk7s2ojhemy
« Previous
Showing results 1 — 15 out of 1,532,026 results