Advances in machine learning. II, Dedicated to the memory of Professor Ryszard S.Michalski
This is the second volume of a large two-volume editorial project we wish to dedicate to the memory of the late Professor Ryszard S. Michalski who passed away in 2007. He was one of the fathers of machine learning, an exciting and relevant, both from the practical and theoretical points of view, are...
Tallennettuna:
| Päätekijä: | |
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| Muut tekijät: | , , , |
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Painos: | 1st ed. 2010. |
| Sarja: | Studies in Computational Intelligence
263 |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in Machine Learning II, Texte imprimé, 9783642051784 • Advances in Machine Learning II, Texte imprimé, 9783642052170 • Advances in Machine Learning II, Texte imprimé, 9783642051784 • Advances in Machine Learning II, Texte imprimé, 9783642262319 |
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| 100 | 1 | |a Koronacki, Jacek. | |
| 245 | 1 | 0 | |a Advances in machine learning. |n II, |p Dedicated to the memory of Professor Ryszard S.Michalski |c edited by Jacek Koronacki, Zbigniew W. Raś, Sławomir T. Wierzchoń, Janusz Kacprzyk. |
| 250 | |a 1st ed. 2010. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 263 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a General Issues Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation Toward Interactive Computations: A Rough-Granular Approach Data Privacy: From Technology to Economics Adapting to Human Gamers Using Coevolution Wisdom of Crowds in the Prisoner s Dilemma Context Logical and Relational Learning, and Beyond Towards Multistrategic Statistical Relational Learning About Knowledge and Inference in Logical and Relational Learning Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the Assets in Theorem Proving Logical Aspects of the Measures of Interestingness of Association Rules Text and Web Mining Clustering the Web 2.0 Induction in Multi-Label Text Classification Domains Cluster-Lift Method for Mapping Research Activities over a Concept Tree On Concise Representations of Frequent Patterns Admitting Negation Classification and Beyond A System to Detect Inconsistencies between a Domain Expert s Different Perspectives on (Classification) Tasks The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation Simple Algorithms for Frequent Item Set Mining Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification Machine Learning Methods in Automatic Image Annotation Neural Networks and Other Nature Inspired Approaches Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework Machine Learning in Vector Models of Neural Networks Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection Immunocomputing for Speaker Recognition | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This is the second volume of a large two-volume editorial project we wish to dedicate to the memory of the late Professor Ryszard S. Michalski who passed away in 2007. He was one of the fathers of machine learning, an exciting and relevant, both from the practical and theoretical points of view, area in modern computer science and information technology. His research career started in the mid-1960s in Poland, in the Institute of Automation, Polish Academy of Sciences in Warsaw, Poland. He left for the USA in 1970, and since then had worked there at various universities, notably, at the University of Illinois at Urbana Champaign and finally, until his untimely death, at George Mason University. We, the editors, had been lucky to be able to meet and collaborate with Ryszard for years, indeed some of us knew him when he was still in Poland. After he started working in the USA, he was a frequent visitor to Poland, taking part at many conferences until his death. We had also witnessed with a great personal pleasure honors and awards he had received over the years, notably when some years ago he was elected Foreign Member of the Polish Academy of Sciences among some top scientists and scholars from all over the world, including Nobel prize winners. Professor Michalski s research results influenced very strongly the development of machine learning, data mining, and related areas. Also, he inspired many established and younger scholars and scientists all over the world. We feel very happy that so many top scientists from all over the world agreed to pay the last tribute to Professor Michalski by writing papers in their areas of research. These papers will constitute the most appropriate tribute to Professor Michalski, a devoted scholar and researcher. Moreover, we believe that they will inspire many newcomers and younger researchers in the area of broadly perceived machine learning, data analysis and data mining. The papers included in the two volumes, Machine Learning I and Machine Learning II, cover diverse topics, and various aspects of the fields involved. For convenience of the potential readers, we will now briefly summarize the contents of the particular chapters | ||
| 700 | 1 | |a Ras, Zbigniew W. |4 edt | |
| 700 | 1 | |a Wierzchon, Slawomir T. |4 edt | |
| 700 | 1 | |a Koronacki, Jacek. |4 pbd | |
| 700 | 1 | |a Ras, Zbigniew W., |d 1947- |4 pbd | |
| 700 | 1 | |a Wierzchon, Slawomir T. |4 pbd | |
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 776 | 0 | |t Advances in Machine Learning II |b Texte imprimé |z 9783642051784 | |
| 776 | 0 | |t Advances in Machine Learning II |b Texte imprimé |z 9783642052170 | |
| 776 | 0 | |t Advances in Machine Learning II |b Texte imprimé |z 9783642051784 | |
| 776 | 0 | |t Advances in Machine Learning II |b Texte imprimé |z 9783642262319 | |
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