Projektwoche 2014: Web-Resourcen

Demo

http://www.openprocessing.org/sketch/135826

Skripten (online)

R. Richter, Der Perceptron-Algorithmus in 20 Minuten, 2013. Perceptron_Handout.pdf
H. Daumé, A Course in Machine Learning. 2012. http://ciml.info/
S. Hochreiter, Theoretical Concepts of Machine Learning. 2014. http://www.bioinf.jku.at/teaching/current/ss_vl_tcml/
D. Kriesel, Ein kleiner Überblick über Neuronale Netze. 2007. http://www.dkriesel.com/science/neural_networks
W. Maass, spike trains, 2000. http://www.igi.tu-graz.ac.at/maass/118/118.html

Bücher

Y.S. Abu-Mostafa, M. Magdon-Ismail, and L. Hsuan-Tien, Learning From Data: A short course. AMLbook.com, 2012. http://amlbook.com/
M.A. Arbib, Brains, Learning, and Mathematics. McGraw-Hill, Inc., 1964.
P. Flach, Machine Learning: The Art and Science of Algorithms that Make Sense of Data. Cambridge: Cambridge University Press, 2012.
R. Rojas, Neural Networks: A Systematic Introduction. Berlin: Springer, 1996.
M. Minsky and S. Papert, Perceptrons: An Introduction to Computational Geometry, Second. Cambridge, MA: The MIT Press, 1972.
S. Papert, Mindstorms: Kinder, Computer und neues Lernen. Basel: Birkhäuser Verlag, 1982.
W. Edelmann and S. Wittmann, Lernpsychologie, 7th ed. Weinheim, Basel: Beltz Verlag, 2012.
G. Steiner, Lernen: Zwanzig Szenarien aus dem Alltag, 2nd ed. Verlag Hans Huber, 1996.

Aufsätze

K.P. Bennett and C. Campbell, Support vector machines: hype or hallelujah? SIGKDD Explor. Newsl., vol. 2, no. 2, pp. 1-13, dec 2000. http://doi.acm.org/10.1145/380995.380999
P. Domingos, A Few Useful Things to Know About Machine Learning, Commun. ACM, vol. 55, no. 10, pp. 78-87, oct 2012. http://doi.acm.org/10.1145/2347736.2347755
N. Jones, Wie Maschinen lernen lernen, 2014. http://www.spektrum.de/alias/deep-learning/wie-maschinen-lernen-lernen/1220451
S.B. Kotsiantis, Supervised Machine Learning: A Review of Classification Techniques, in Proceedings of the 2007 Conference on Emerging Artificial Intelligence Applications in Computer Engineering, Amsterdam, The Netherlands: IOS Press, 2007, pp. 3-24. http://dl.acm.org/citation.cfm?id=1566770.1566773
X. Wu, V. Kumar, J. Ross Quinlan, J. Ghosh, Q. Yang, H. Motoda, G.J. McLachlan, A. Ng, B. Liu, P.S. Yu, Z.-H. Zhou, M. Steinbach, D.J. Hand, and D. Steinberg, Top 10 algorithms in data mining, Knowledge and Information Systems, vol. 14, no. 1, pp. 1-37, 2008. http://dx.doi.org/10.1007/s10115-007-0114-2