12 Ebooks par Olgierd Hryniewicz
Przemyslaw Grzegorzewski & Marek Gagolewski: Strengthening Links Between Data Analysis and Soft Computing
This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to …
PDF
Anglais
€53.49
Maria Brigida Ferraro & Paolo Giordani: Soft Methods for Data Science
This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book …
PDF
Anglais
€213.99
Sébastien Destercke & Thierry Denoeux: Uncertainty Modelling in Data Science
This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th Internat …
PDF
Anglais
€149.79
Jonathan Lawry & Enrique Miranda: Soft Methods for Integrated Uncertainty Modelling
The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be e …
PDF
Anglais
€149.79
Didier Dubois & Maria Asuncion Lubiano: Soft Methods for Handling Variability and Imprecision
Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notio …
PDF
Anglais
€149.79
Christian Borgelt & Gil González Rodríguez: Combining Soft Computing and Statistical Methods in Data Analysis
Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. …
PDF
Anglais
€309.23
Rudolf Kruse & Michael R. Berthold: Synergies of Soft Computing and Statistics for Intelligent Data Analysis
In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignoranc …
PDF
Anglais
€213.99
Maria Angeles Gil & Przemyslaw Grzegorzewski: Soft Methodology and Random Information Systems
The analysis of experimental data resulting from some underlying random process is a fundamental part of most scientific research. Probability Theory and Statistics have been developed as flexible to …
PDF
Anglais
DRM
€229.99
Maria A. Gil & Przemyslaw Grzegorzewski: Soft Methods in Probability, Statistics and Data Analysis
Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have mot …
PDF
Anglais
DRM
€57.99
Luis A. García-Escudero & Alfonso Gordaliza: Building Bridges between Soft and Statistical Methodologies for Data Science
Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tool …
PDF
Anglais
€234.33
Agnieszka Jastrzębska & Jan W. Owsiński: Analysing Web Traffic
This book presents ample, richly illustrated account on results and experience from a project, dealing with the analysis of data concerning behavior patterns on the Web. The advertising on the Web is …
PDF
Anglais
€149.79
Jonathan Ansari & Sebastian Fuchs: Combining, Modelling and Analyzing Imprecision, Randomness and Dependence
This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Conference on Soft Methods in Probability and Statistics (SMPS) held in Salzburg, Austria, in Septemb …
PDF
Anglais
€213.99
