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Knjiga Mathematical Methodologies in Pattern Recognition and Machine Learning Ana L. N. Fred

Mathematical Methodologies in Pattern Recognition and Machine Learning

Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012

Pedro Latorre Carmona

J. Salvador Sánchez

Jezik

Angleščina

Knjiga Mehka

Knjiga Mathematical Methodologies in Pattern Recognition and Machine Learning Ana L. N. Fred

Koda Libristo: 09136053

Založba Springer-Verlag New York Inc., september 2012

This volume features key contributions from the International Conference on Pattern Recognition Appl... Celoten opis

Koda Libristo: 09136053

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This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field.§§This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists.§

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O knjigi

Polni naslov Mathematical Methodologies in Pattern Recognition and Machine Learning

Avtor Ana L. N. Fred, Pedro Latorre Carmona, J. Salvador Sánchez

Jezik

Angleščina

Vezava Knjiga - Mehka

Datum izida 2012

Število strani 196

EAN 9781493900923

ISBN 1493900927

Koda Libristo 09136053

Založba Springer-Verlag New York Inc.

Teža 3168

Mere 155 x 11 x 12

Kategorije

Reference, Information & Interdisciplinary subjects > Research & information: general > Information theory > Cybernetics & systems theory

Computing & Information Technology > Computer science > Mathematical theory of computation > Maths for computer scientists

Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition

Mathematics & Science > Mathematics > Optimization

Computing & Information Technology > Business applications > Mathematical & statistical software

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