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ITAT 2014. Information Technologies - Applications and Theory. Part II
Kůrková, Věra ; Bajer, Lukáš ; Peška, L. ; Vojtáš, P. ; Holeňa, Martin ; Nehéz, M.
ITAT 2014. Information Technologies - Applications and Theory. Part II. Prague : Institute of Computer Science AS CR, 2014. 145 p. ISBN 978-80-87136-19-5. This volume is the second part of the two-volume proceedings of the 14th conference Information Technologies – Applications and Theory (ITAT 2014), which was held in Jasná, Demänovská Dolina, Slovakia, on September 25–29, 2014. ITAT is a computer science conference with the primary goal of exchanging information on recent research results. Overall, 51 papers were submitted to all conference tracks. This volume presents papers from the workshops and an extended abstract of a poster. Three specialized workshops were held as a part of the conference: Data Mining and Preference Learning on Web, Computational Intelligence and Data Mining, and Algorithmic Aspects of Complex Networks Analysis.
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ITAT 2014. Information Technologies - Applications and Theory. Part I
Kůrková, Věra ; Bajer, Lukáš
ITAT 2014. Information Technologies - Applications and Theory. Part I. Prague : Institute of Computer Science AS CR, 2014. 101 p. ISBN 978-80-87136-18-8. This volume is the first part of the two-volume proceedings of the 14th conference Information Technologies – Applications and Theory (ITAT 2014). The conference was held in Jasná, Demänovská Dolina, Slovakia, on September 25–29, 2014. ITAT is a computer science conference with the primary goal of exchanging information on recent research results between Czech and Slovak scientific communities, and it presents a platform for young researchers and PhD students to start new collaborations. This year, it was held in parallel with two collocated conferences Datakon and Znalosti with which it shared some invited plenary talks and a poster session. Overall, 51 papers were submitted to all conference tracks. This volume presents 16 papers of the main track, which were selected by the program committee based on at least two reviews by the program committee members. Papers from the three workshops and extended abstracts of posters are included in the second volume.
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Towards Low-Dimensional Gaussian Process Metamodels for CMA-ES
Bajer, Lukáš ; Holeňa, Martin
Gaussian processes and kriging models has attracted attention of researchers from different areas of black-box optimization, especially since Jones’ introduction of the Efficient Global Optimization (EGO) algorithm. However, current implementations of the EGO or real-world applications are rather few. We conjecture that the EGO is not suitable for higher-dimensional optimization and try to investigate whether hybridization of a low-dimensional local optimization with the current state-of-the-art continuous black-box optimizer CMA-ES (Covariance Matrix Adaptation Evolution Strategy) could help. In this paper, only a first proposal of such a GP/CMA-ES connection is described and some preliminary tests are presented.
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