Artificial Intelligence and Soft Computing: 15th by Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard

By Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada

The two-volume set LNAI 9692 and LNAI 9693 constitutes the refereed court cases of the fifteenth overseas convention on synthetic Intelligence and gentle Computing, ICAISC 2016, held in Zakopane, Poland in June 2016.
The 134 revised complete papers awarded have been rigorously reviewed and chosen from 343 submissions. The papers incorporated within the first quantity are geared up within the following topical sections: neural networks and their functions; fuzzy structures and their purposes; evolutionary algorithms and their functions; agent structures, robotics and keep an eye on; and trend class. the second one quantity is split within the following elements: bioinformatics, biometrics and clinical functions; info mining; synthetic intelligence in modeling and simulation; visible info coding meets desktop studying; and numerous difficulties of synthetic intelligence.

Show description

Read or Download Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II PDF

Best machine theory books

Theory And Practice Of Uncertain Programming

Real-life judgements tend to be made within the kingdom of uncertainty equivalent to randomness and fuzziness. How will we version optimization difficulties in doubtful environments? How can we remedy those types? with the intention to resolution those questions, this publication offers a self-contained, accomplished and updated presentation of doubtful programming idea, together with quite a few modeling rules, hybrid clever algorithms, and functions in method reliability layout, undertaking scheduling challenge, motor vehicle routing challenge, facility situation challenge, and computer scheduling challenge.

Algebras in Genetics

The aim of those notes is to provide a slightly whole presentation of the mathematical concept of algebras in genetics and to debate intimately many functions to concrete genetic events. traditionally, the topic has its starting place in different papers of Etherington in 1939- 1941. basic contributions were given via Schafer, Gonshor, Holgate, Reiers¢l, Heuch, and Abraham.

Augmented Marked Graphs

Petri nets are a proper and theoretically wealthy version for the modelling and research of platforms. A subclass of Petri nets, augmented marked graphs own a constitution that's specially fascinating for the modelling and research of platforms with concurrent strategies and shared assets. This monograph contains 3 components: half I offers the conceptual heritage for readers who've no previous wisdom on Petri nets; half II elaborates the idea of augmented marked graphs; eventually, half III discusses the applying to method integration.

Large-Scale Scientific Computing: 9th International Conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers

This publication constitutes the completely refereed post-conference court cases of the ninth overseas convention on Large-Scale clinical Computations, LSSC 2013, held in Sozopol, Bulgaria, in June 2013. The seventy four revised complete papers offered including five plenary and invited papers have been conscientiously reviewed and chosen from a variety of submissions.

Additional info for Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II

Example text

Clark et al. Table 2. 65 For every data set a set of templates was created. Templates were formed by replacing incrementally (with 5 % increment) existing specified attribute values by lost values. , until at least one entire row of the data sets was full of lost values.

New Phytol. 11(2), 37–50 (1912). x 11. : Weighted consensus clustering. In: Proceedings of the SIAM Conference on Data Mining, pp. 798–809 (2008) 12. : UCI machine learning repository (2013). edu/ ml 26 A. Al-Najdi et al. 13. : A new approach for association rule mining and bi-clustering using formal concept analysis. In: Perner, P. ) MLDM 2012. LNCS, vol. 7376, pp. 86–101. Springer, Heidelberg (2012) 14. : UCI repository of machine learning databases (1998). html 15. : Efficient mining of association rules using closed itemset lattices.

1007/978-3-319-39384-1 2 Frequent Closed Patterns Based Multiple Consensus Clustering 15 Rather than depending on validation measures, another approach is to combine the multiple clustering solutions generated by several clustering algorithms and/or settings, in order to produce a final clustering which is better than each individual algorithm can produce. This technique is called consensus clustering, aggregation of clusterings or ensemble clustering, and the clustering algorithms to be combined are called base clustering algorithms.

Download PDF sample

Rated 4.03 of 5 – based on 37 votes