From Anthropocene to Artificial Intelligence? Challenges of Machine Learning for Science, Life, and Society
暂无分享,去创建一个
[1] K. Mainzer. Künstliche Intelligenz – Wann übernehmen die Maschinen? , 2016 .
[2] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[3] David Easley,et al. Networks, Crowds, and Markets by David Easley , 2010 .
[4] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[5] Jure Leskovec,et al. The dynamics of viral marketing , 2005, EC '06.
[6] David Easley,et al. Networks, Crowds, and Markets: Network Dynamics: Structural Models , 2010 .
[7] K. Mainzer. Die Berechnung der Welt , 2014 .
[8] Jared Dean,et al. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners , 2014 .
[9] Klaus Mainzer,et al. Thinking in complexity - the computational dynamics of matter, mind, and mankind, 5th Edition , 2013, Springer complexity.
[10] Geoffrey E. Hinton,et al. Parallel Models of Associative Memory , 1989 .
[11] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[12] F. Weiling. Lotka, A. J.: Elements of Mathematical Biology. Dover Publications Inc., New‐York 1956; XXX + 465 S., 72 Abb., 36 Tabellen und 4 Übersichtstabellen im Anhang, Preis $ 2,45 , 1965 .
[13] P. Mcelroy,et al. Transmission network analysis to complement routine tuberculosis contact investigations. , 2007, American journal of public health.
[14] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[15] J. Kleinberg,et al. Networks, Crowds, and Markets , 2010 .