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Machine Learned Learning Machines [article]

Leigh Sheneman, Arend Hintze
2017 arXiv   pre-print
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]

Steve Petersen
2020 Ethics of Artificial Intelligence  
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

Ted G. Lewis, Peter J. Denning
2018 Communications of the ACM  
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

Frédéric Alexandre
2016 Proceedings of the 8th International Joint Conference on Computational Intelligence  
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]

Mariette Awad, Rahul Khanna
2015 Efficient Learning Machines  
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

A. M. Andrew
1966 Computer journal  
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  
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]

Mordechai Ben-Ari, Francesco Mondada
2017 Elements of Robotics  
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. Linear Discriminant Analysis Machine Learning See Appendix  ... 
doi:10.1007/978-3-319-62533-1_14 fatcat:cblpd54r3bbdnbsfvaci5iy3yu

Machine Learning

Daniel Silveira Pereira
2020 Controlling: Zeitschrift fuer erfolgsorientierte Unternehmenssteuerung  
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

Raimundo Tales Benigno Rocha Matosa
2018 Zenodo  
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

Arthur Charpentier, Emmanuel Flachaire, Antoine Ly
2019 Economics and Statistics  
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]

Menachem Stern, Daniel Hexner, Jason W. Rocks, Andrea J. Liu
2020 arXiv   pre-print
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

K. Ravikumar, M. Maheswaran
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
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

B. Raducanu, J. Vitrià
2008 Pattern Recognition Letters  
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?

Zdenko Kodelja
2019 Center for Educational Policy Studies Journal  
– 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
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