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Year Number of Results
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1952 1
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1955 1
1957 1
1958 1
1962 2
1963 1
1964 1
1965 3
1966 3
1967 2
1968 5
1969 2
1970 2
1972 2
1973 3
1975 17
1976 19
1977 13
1978 18
1979 14
1980 16
1981 9
1982 9
1983 19
1984 17
1985 19
1986 13
1987 23
1988 16
1989 17
1990 22
1991 27
1992 22
1993 23
1994 36
1995 28
1996 35
1997 60
1998 40
1999 46
2000 58
2001 76
2002 50
2003 69
2004 82
2005 104
2006 129
2007 135
2008 160
2009 204
2010 201
2011 241
2012 240
2013 234
2014 296
2015 353
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2019 744
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2021 1029
2022 1245
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2024 479

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9,265 results

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The following term was not found in PubMed: samming
Page 1
Did you mean simple summing machine (12 results)?
Cooperating with machines.
Crandall JW, Oudah M, Tennom, Ishowo-Oloko F, Abdallah S, Bonnefon JF, Cebrian M, Shariff A, Goodrich MA, Rahwan I. Crandall JW, et al. Nat Commun. 2018 Jan 16;9(1):233. doi: 10.1038/s41467-017-02597-8. Nat Commun. 2018. PMID: 29339817 Free PMC article.
., Chess, Poker, or Go). Less attention has been given to scenarios in which human-machine cooperation is beneficial but non-trivial, such as scenarios in which human and machine preferences are neither fully aligned nor fully in conflict. ...We show that this algor …
., Chess, Poker, or Go). Less attention has been given to scenarios in which human-machine cooperation is beneficial but non-trivial, …
Data analytics for cardiac diseases.
Juhola M, Joutsijoki H, Penttinen K, Shah D, Pölönen RP, Aalto-Setälä K. Juhola M, et al. Comput Biol Med. 2022 Mar;142:105218. doi: 10.1016/j.compbiomed.2022.105218. Epub 2022 Jan 5. Comput Biol Med. 2022. PMID: 34999413 Free article.
In the present research we tackled the classification of seven genetic cardiac diseases and control subjects by using an extensive set of machine learning algorithms with their variations from simple K-nearest neighbor searching method to support vector machines …
In the present research we tackled the classification of seven genetic cardiac diseases and control subjects by using an extensive set of …
Machine learning techniques for protein function prediction.
Bonetta R, Valentino G. Bonetta R, et al. Proteins. 2020 Mar;88(3):397-413. doi: 10.1002/prot.25832. Epub 2019 Nov 14. Proteins. 2020. PMID: 31603244 Review.
Due to the growing gap between the number of proteins being discovered and their functional characterization (in particular as a result of experimental limitations), reliable prediction of protein function through computational means has become crucial. This paper reviews the …
Due to the growing gap between the number of proteins being discovered and their functional characterization (in particular as a result of e …
Learning and reasoning with graph data.
Jaeger M. Jaeger M. Front Artif Intell. 2023 Aug 22;6:1124718. doi: 10.3389/frai.2023.1124718. eCollection 2023. Front Artif Intell. 2023. PMID: 37675398 Free PMC article. Review.
Reasoning about graphs, and learning from graph data is a field of artificial intelligence that has recently received much attention in the machine learning areas of graph representation learning and graph neural networks. ...To obtain a unified perspective on such a diver …
Reasoning about graphs, and learning from graph data is a field of artificial intelligence that has recently received much attention in the …
Three simple steps to improve the interpretability of EEG-SVM studies.
Joucla C, Gabriel D, Ortega JP, Haffen E. Joucla C, et al. J Neurophysiol. 2022 Dec 1;128(6):1375-1382. doi: 10.1152/jn.00221.2022. Epub 2022 Sep 28. J Neurophysiol. 2022. PMID: 36169205 Free article. Review.
Taking example from a major class of machine-learning algorithms used in EEG research, the support-vector machine (SVM), we highlight three important aspects of model development (normalization, hyperparameter optimization, and cross-validation) and show that, while …
Taking example from a major class of machine-learning algorithms used in EEG research, the support-vector machine (SVM), we hi …
Distance-based clustering using QUBO formulations.
Matsumoto N, Hamakawa Y, Tatsumura K, Kudo K. Matsumoto N, et al. Sci Rep. 2022 Feb 17;12(1):2669. doi: 10.1038/s41598-022-06559-z. Sci Rep. 2022. PMID: 35177719 Free PMC article.
A typical simple method using an Ising machine makes each cluster size equal and is not suitable for clustering unevenly distributed data. We propose a new clustering method that provides better performance than the simple method, especially for unevenly dist …
A typical simple method using an Ising machine makes each cluster size equal and is not suitable for clustering unevenly distr …
Preventing undesirable behavior of intelligent machines.
Thomas PS, Castro da Silva B, Barto AG, Giguere S, Brun Y, Brunskill E. Thomas PS, et al. Science. 2019 Nov 22;366(6468):999-1004. doi: 10.1126/science.aag3311. Science. 2019. PMID: 31754000
Intelligent machines using machine learning algorithms are ubiquitous, ranging from simple data analysis and pattern recognition tools to complex systems that achieve superhuman performance on various tasks. ...Our framework for designing machine learn …
Intelligent machines using machine learning algorithms are ubiquitous, ranging from simple data analysis and pattern re …
Anaesthesia machine: checklist, hazards, scavenging.
Goneppanavar U, Prabhu M. Goneppanavar U, et al. Indian J Anaesth. 2013 Sep;57(5):533-40. doi: 10.4103/0019-5049.120151. Indian J Anaesth. 2013. PMID: 24249887 Free PMC article. Review.
From a simple pneumatic device of the early 20(th) century, the anaesthesia machine has evolved to incorporate various mechanical, electrical and electronic components to be more appropriately called anaesthesia workstation. Modern machines have overcome many …
From a simple pneumatic device of the early 20(th) century, the anaesthesia machine has evolved to incorporate various mechani …
Robotics: self-reproducing machines.
Zykov V, Mytilinaios E, Adams B, Lipson H. Zykov V, et al. Nature. 2005 May 12;435(7039):163-4. doi: 10.1038/435163a. Nature. 2005. PMID: 15889080
Although these traits would also be desirable in many engineered systems, the principles of self-reproduction have not been exploited in machine design. Here we create simple machines that act as autonomous modular robots and are capable of physical self-repr …
Although these traits would also be desirable in many engineered systems, the principles of self-reproduction have not been exploited in …
Pulse-driven robot: Motion via solitary waves.
Deng B, Chen L, Wei D, Tournat V, Bertoldi K. Deng B, et al. Sci Adv. 2020 May 1;6(18):eaaz1166. doi: 10.1126/sciadv.aaz1166. eCollection 2020 May. Sci Adv. 2020. PMID: 32494671 Free PMC article.
By combining experimental and theoretical methods, we show that such pulse-driven locomotion reaches a maximum efficiency when the initiated pulses are solitons and that our simple machine can move on a wide range of surfaces and even steer. Our study expands the ra …
By combining experimental and theoretical methods, we show that such pulse-driven locomotion reaches a maximum efficiency when the initiated …
9,265 results