Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Ryszard S. Michalski"'
Publikováno v:
Expert Systems in Developing Countries ISBN: 9780429046490
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70849b63d350881e039640ab2d7896b0
https://doi.org/10.1201/9780429046490-5
https://doi.org/10.1201/9780429046490-5
Autor:
Ryszard S. Michalski, Janusz Wojtusiak
Publikováno v:
Journal of Intelligent Information Systems. 39:141-166
This paper describes methods for reasoning with unknown, irrelevant, and not-applicable meta-values when learning concept descriptions from examples or discovering patterns in data. These types of meta-values represent different reasons for which reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36051c0fbe102474b1d5066510ca7562
https://doi.org/10.1007/s10844-011-0186-z
https://doi.org/10.1007/s10844-011-0186-z
Publikováno v:
International Journal of Medical Informatics. 78:e104-e111
Purpose Systematic reviews and meta-analysis of published clinical datasets are important part of medical research. By combining results of multiple studies, meta-analysis is able to increase confidence in its conclusions, validate particular study r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c5038838413ae2219808316a4bb8c7
https://doi.org/10.1016/j.ijmedinf.2009.04.003
https://doi.org/10.1016/j.ijmedinf.2009.04.003
Autor:
Ryszard S. Michalski, Janusz Wojtusiak
Publikováno v:
Quality Management in Health Care. 17:80-89
This article briefly describes natural induction approach to knowledge discovery, and then applies it to the problem of bad habit relapse prevention by analyzing patients' diaries. Natural induction seeks patterns in data that are in forms easy to un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c3f2fbd15efae06641207c4b6385161
https://doi.org/10.1097/01.qmh.0000308640.89602.b1
https://doi.org/10.1097/01.qmh.0000308640.89602.b1
Publikováno v:
International Journal of Intelligent Systems. 21:1217-1248
A new method for optimizing complex engineering designs is presented that is based on the Learnable Evolution Model (LEM), a recently developed form of non-Darwinian evolutionary computation. Unlike conventional Darwinian-type methods that execute an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faea072d7d14a96e6e5bc2e82649a696
https://doi.org/10.1002/int.20182
https://doi.org/10.1002/int.20182
Publikováno v:
HVAC&R Research. 10:201-211
Optimizing the refrigerant circuitry for a finned-tube evaporator is a daunting task for traditional exhaustive search techniques due to the extremely large number of circuitry possibilities. For this reason, more intelligent search techniques are ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f3224ddf94a050667ffc22f1b984fcf
https://doi.org/10.1080/10789669.2004.10391099
https://doi.org/10.1080/10789669.2004.10391099
Autor:
Marcus A. Maloof, Ryszard S. Michalski
Publikováno v:
Artificial Intelligence. 154(1-2):95-126
Agents that learn on-line with partial instance memory reserve some of the previously encountered examples for use in future training episodes. In earlier work, we selected extreme examples—those from the boundaries of induced concept descriptions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0928b7f41e7e8b82aafb42c16fa72e21
Publikováno v:
Journal of Intelligent Information Systems. 14:199-216
In concept learning and data mining tasks, the learner is typically faced with a choice of many possible hypotheses or patterns characterizing the input data. If one can assume that training data contain no noise, then the primary conditions a hypoth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6475b23190429a78bac1d1deaaec6cf7
https://doi.org/10.1023/a:1008787919756
https://doi.org/10.1023/a:1008787919756
Autor:
Marcus A. Maloof, Ryszard S. Michalski
Publikováno v:
Machine Learning. 41:27-52
This paper describes a method for selecting training examples for a partial memory learning system. The method selects extreme examples that lie at the boundaries of concept descriptions and uses these examples with new training examples to induce ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ee04cb3605636214cdc5c6204551921
https://doi.org/10.1023/a:1007661119649
https://doi.org/10.1023/a:1007661119649
Autor:
Ryszard S. Michalski
Publikováno v:
Machine Learning. 38:9-40
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombination, and selection operators, LEM employs machine learning to generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::007679991dfa713c2fc6e1c73eeb206d
https://doi.org/10.1023/a:1007677805582
https://doi.org/10.1023/a:1007677805582