Předmět Readings in Digital Typography, Scientific Visualization, Information Retrieval and Machine Learning (PV212)
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Další informace
Cíl
The aim of the seminar is a presentation of results of student research (both pregradual and gradual). At the end of the course students will have experience in presenting and discussion of their or other (from readings) research. Every student has to have her/his own presentation in the seminar.
Osnova
Referred topics/projects for every year will be posted on the web page of the course, and negotiated with registered students. The lectures consist mostly of students' presentations. The presentations and discussion are either in Czech or, according to the preferences of the speaker, in English. The students can control the content of the seminar in the discussions after each presentation.
Literatura
WITTEN, I. H. a Eibe FRANK. Data mining :practical machine learning tools and techniques. 2nd ed. Amsterdam: Elsevier, 2005. xxxi, 525. ISBN 0-12-088407-0. infoMITCHELL, Tom M. Machine learning. Boston: McGraw-Hill, 1997. xv, 414 s. ISBN 0-07-042807-7. infoInformation retrieval :data structures & algorithms. Edited by William B. Frakes - Ricardo Baeza-Yates. Upper Saddle River: Prentice Hall, 1992. viii, 504. ISBN 0-13-463837-9. infoKNUTH, Donald Ervin. Digital typography. Stanford: Center for the Study of Language and Information, 1999. xv, 685 s. ISBN 1-57586-011-2. info
Požadavky
SOUHLASInterest in research problems in areas of Machine Learning, Scientific Visualization, Information Retrieval and Digital Typography.Courage to learn how to move the human knowledge and understanding in these areas by CS research. Willingness to study particular topic of choice, and refer, discuss and brainstorm about it with others.
Garant
doc. RNDr. Petr Matula, Ph.D.
Vyučující
doc. RNDr. Petr Sojka, Ph.D.