Machine Learning: ECML-95: 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings (Lecture Notes in Computer Science, 912, Band 912) - Softcover

Softcover

ISBN 10: 3540592865 ISBN 13: 9783540592860

Verlag: Springer, 2008

Inhaltsangabe

This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995.
Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.

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Über die Autorin bzw. den Autor

Prof. Nada Lavrac (Jozef Stefan Institute, Slovenia) is Senior researcher at the Department of Knowledge Technologies at JSI (was Head of Department in 2014-2020), and Full Professor at University of Nova Gorica and International Postgraduate School Jozef Stefan (was Vice-Dean in 2016-2020). Her research interests are machine learning, data mining, text mining, knowledge management and computational creativity. She was chair of several conferences ICCC 2014, ILP 2012, AIME 2011, ..., co-chair of conferences including SOKD 2008-2010, ILP 2008, IDA 2007, DS 2006, ..., keynote speaker at KI2020, ADBIS2019, ISWC 2017, LPNMR 2015, JSMI 2014, ... She is/was member of editorial boards of Artificial Intelligence in Medicine, AI Communications, New Generation Computing, Applied AI, Machine Learning Journal and Data Mining and Knowledge Discovery. She is ECCAI/EurAI Fellow, was vice-president of ECCAI (1996-98), and served as member of the International Machine Learning Society board and Artificial Intelligence in Medicine board.Vid Podpecan, PhD, is a research associate at the Department of Knowledge Technologies at the Jozef Stefan Institute. He obtained his BSc in computer science from the University of Ljubljana in 2007, and his PhD from the Joz ef Stefan International Postgraduate School in 2013. His research interests include machine learning, computational systems biology, text mining and natural language processing, and robotics. He co-authored a scientific monograph and published the results of his research in more than 50 scientific publications. He is also actively involved in promoting STEAM with a focus on robotics, programming, and art for which he received an award by the Slovene Science Foundation.Prof Marko Robnik-Sikonja is Professor of Computer Science and Informatics at University of Ljubljana, Faculty of Computer and Information Science. His research interests span machine learning, data mining, natural languageprocessing, network analytics, and application of data science techniques. His most notable scientific results are from the areas of feature evaluation, ensemble learning, explainable artificial intelligence, data generation, and natural language analytics.  He is (co)author of over 150 scientific publications that were cited more than 5,000 times, and three open-source R data mining packages. He participates in several national and international projects, regularly serves as programme committees member of top artificial intelligence and machine learning conferences, and is an editorial board member of seven international journals. Natalia and Gennady Andrienko have been lead scientists for visual analytics research at the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Germany since 2007. Their research interests include geovisualization, information visualization with a focus on spatial and temporal data, visual analytics, interactive knowledge discovery and data mining, and spatial decision support and optimization.Peter Bak, PhD, has been a senior scientis at IBM Research Lab, Haifa since 2010. He works in the field of visual analytics mainly for the spatiotemporal domain. He is mainly interested in the development and design of new techniques for the analysis and interactive visualization of real time movement and historical collection of trajectory data. He is continuously contributing to academic, but also to industrial application domains.Daniel Keim is a Professor of Data Mining and Visualization at the University of Konstanz, Germany. His main areas of research are databases, data mining, information visualization, and visual analytics. In 2011, he received the Visualization Technical Achievement Award from the IEEE VGTC in recognition of his seminal technical work in high-dimensional data analysis and visualization of large databases.Stefan Wrobel holds a joint position as a Professor of Computer Science at the University of Bonn and Institute Director of the Fraunhofer IAIS. His main interests are in machine learning, data analysis, and pattern recognition. He is an Elected Founding Member of the International Machine Learning Society.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2008
• Sprache: Englisch
• ISBN 10: 3540592865
• ISBN 13: 9783540592860
• Einband: Taschenbuch
• Anzahl der Seiten: 388
• Herausgeber: Lavrač Nada, Wrobel Stefan
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland