9783642302770 - towards advanced data analysis by combining soft computing and statistics: 285 (studies in fuzziness and soft computing, 285) (14 resultados)

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Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Borgelt, Christian (EDT); Gil, Maria Angeles (EDT); Sousa, Joao M. C. (EDT); Verleysen, Michel (EDT)
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Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Borgelt, Christian|Gil, María Ángeles|Sousa, João M. C.|Verleysen, Michel
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approa…ches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty.Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance.Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively.

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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 388 | Sprache: Englisch | Produktart: Bücher | Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximat…ions and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty. Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance. Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively.

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Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Borgelt, Christian (EDT); Gil, Maria Angeles (EDT); Sousa, Joao M. C. (EDT); Verleysen, Michel (EDT)
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Idioma: Inglés
Editorial: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2012 2012
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quickly, accepting approximations and uncon…ventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty.Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance.Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively. 388 pp. Englisch.

Idioma: Inglés
Editorial: Springer, Springer Berlin Heidelberg Aug 2012 2012
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconvent…ional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty.Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance.Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch.

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Condición: New. Print on Demand pp. 390 73 Illus.

Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Gil Alvarez Maria Angeles Borgelt Christian Costa Sousa Joao M. Da
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Condición: New. PRINT ON DEMAND pp. 390.