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Advances in Machine Learning I: Dedicated to the Memory of - download pdf or read online

By Janusz Wojtusiak, Kenneth A. Kaufman (auth.), Jacek Koronacki, Zbigniew W. Raś, Sławomir T. Wierzchoń, Janusz Kacprzyk (eds.)

ISBN-10: 3642051766

ISBN-13: 9783642051760

ISBN-10: 3642051774

ISBN-13: 9783642051777

This is the 1st quantity of a giant two-volume editorial undertaking we want to devote to the reminiscence of the past due Professor Ryszard S. Michalski who passed on to the great beyond in 2007. He was once one of many fathers of computer studying, an exhilarating and suitable, either from the sensible and theoretical issues of view, sector in smooth laptop technology and knowledge expertise. His learn profession all started within the mid-1960s in Poland, within the Institute of Automation, Polish Academy of Sciences in Warsaw, Poland. He left for the united states in 1970, and because then had labored there at numerous universities, particularly, on the college of Illinois at Urbana – Champaign and at last, till his premature dying, at George Mason collage. We, the editors, were fortunate in order to meet and collaborate with Ryszard for years, certainly a few of us knew him while he was once nonetheless in Poland. After he set to work within the united states, he was once a widespread customer to Poland, participating at many meetings until eventually his demise. We had additionally witnessed with an outstanding own excitement honors and awards he had obtained through the years, significantly whilst a few years in the past he was once elected international Member of the Polish Academy of Sciences between a few best scientists and students from around the globe, together with Nobel prize winners.

Professor Michalski’s study effects motivated very strongly the improvement of desktop studying, information mining, and comparable parts. additionally, he encouraged many proven and more youthful students and scientists all around the world.

We consider more than pleased that such a lot of most sensible scientists from world wide agreed to pay the final tribute to Professor Michalski by means of writing papers of their components of study. those papers will represent the main applicable tribute to Professor Michalski, a loyal pupil and researcher. in addition, we think that they are going to encourage many beginners and more youthful researchers within the region of widely perceived desktop studying, information research and knowledge mining.

The papers integrated within the volumes, computer studying I and computing device studying II, hide various subject matters, and diverse points of the fields concerned. For comfort of the aptitude readers, we'll now in short summarize the contents of the actual chapters.

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Extra info for Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski

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However, if accuracy and coverage of the rules are simply above their respective thresholds, then the heuristic leaves the window at its current length. Finally, if accuracy or coverage is below its respective threshold, then the heuristic increases the size of the window by one unit. It is true that replacing AQ 11- PM’s static window with the window adjustment heuristic increases the number of parameters from one to three. However, given that it is unlikely that drift will occur at regular intervals, adding the heuristic should let the method cope with a broader range of learning tasks that involve drift.

Most do not perform well, so it is natural to investigate what modifications we could make to a standard online algorithm to let it better cope with concept drift. On the other hand, we can also design completely new algorithms for concept drift, and these may or may not be useful for online learning of concepts that do not change over time. Once we have these algorithms, then it is important to conduct a proper empirical evaluation to characterize their performance, as we discuss in the next section.

It is, however, not possible to give enough attention to many important aspects of work that appeared in over 350 publications. In the references section of this chapter, readers can find many important works, some of which are already considered classic in the field. Among the “conceptual offspring” worth mentioning, but not included in this chapter are: variable-precision logic, two-tiered concept representation, dynamic recognition, attributional ruletrees, dynamic interlaced hierarchies, and many others.

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Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski by Janusz Wojtusiak, Kenneth A. Kaufman (auth.), Jacek Koronacki, Zbigniew W. Raś, Sławomir T. Wierzchoń, Janusz Kacprzyk (eds.)

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