By Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed lawsuits of the thirteenth foreign convention on man made Intelligence and tender Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised complete papers awarded within the volumes, have been rigorously reviewed and chosen from 331 submissions. The sixty nine papers integrated within the first quantity are all for the subsequent topical sections: Neural Networks and Their functions, Fuzzy platforms and Their functions, Evolutionary Algorithms and Their purposes, type and Estimation, laptop imaginative and prescient, photo and Speech research and precise consultation three: clever tools in Databases. The seventy one papers within the moment quantity are equipped within the following topics: information Mining, Bioinformatics, Biometrics and clinical purposes, Agent platforms, Robotics and keep an eye on, synthetic Intelligence in Modeling and Simulation, quite a few difficulties of man-made Intelligence, designated consultation 2: computing device studying for visible details research and safety, specific consultation 1: purposes and houses of Fuzzy Reasoning and Calculus and Clustering.
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Additional info for Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II
However, in all other cases M I2 and M I3 methods are better from the others (also for dictionaries in the size of 50, 100, 250 and 500 words - not included due to short space). In addition, we have performed another test with the use of VOC dataset. The result from Fig. 4 conﬁrms that M I2 and M I3 methods work very well and better than basic versions. 12 P. Artiemjew and P. G´ orecki Vocabulary size: 2500 100 95 95 90 90 85 85 80 80 Accuracy Accuracy Vocabulary size: 2500 100 75 75 70 70 65 65 60 55 60 IGbasic IG2 MIbasic MI2 50 2500 55 2000 1500 1000 Number of best visual words 500 IGbasic IG3 MIbasic MI3 50 2500 0 2000 1500 1000 Number of best visual words 500 0 Fig.
M, j = 1, 2, . . m. g. from the best one to the worst one. Moreover, there is a monotonic relationship 1 Well, whatever it means. Machine Learning for Parametric Evaluation Analysis 29 between the values of particular criteria qi,j and the overall quality of the entity Xi , and hence its assignment to a speciﬁc class. The solution of the MCP consists in ﬁnding a rational assignment of objects of X into the categories of C in the form of a function λ, such that λ : X → C. (2) In practice, λ may not deﬁned in an analytical way; it can be implemented as a complex decision procedure.
Suraj, Z. ) RSKT 2011. LNCS, vol. 6954, pp. 642–648. Springer, Heidelberg (2011) 3. : Review of the extraction methods of dna microarray features based on central decision class separation vs rough set classiﬁer. Foundations of Computing and Decision Sciences 37, 239–252 (2012) 4. : Feature selection based on information gain. International Journal of Innovative Technology and Exploring Engineering (IJITEE) 2(2) (2013) 5. : SURF: Speeded up robust features. , Pinz, A. ) ECCV 2006, Part I. LNCS, vol.
Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II by Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada