Marco maggini (70 resultados)

Hardback. Condición: New.

Hardback. Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 19th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2025, which took place in Siena, Italy, during September 3-5, 2025.The 14 full papers included in these proceedings were carefully reviewed and selected from 21 submissions. They were organized in the following topical sections: Artificial life for environment management; AILife: Artificial Intelligence in Life Sciences; Going deep in the origin and diversity of life; and ALife in complex environments.…

Paperback. Condición: Brand New. 218 pages. 6.14x0.47x9.21 inches. In Stock.

Taschenbuch. Condición: Neu. Artificial Life and Evolutionary Computation | 19th Italian Workshop, WIVACE 2025, Siena, Italy, September 3-5, 2025, Proceedings | Monica Bianchini (u. a.) | Taschenbuch | Communications in Computer and Information Science | xx | Englisch | 2026 | Springer | EAN 9783032331847 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 294 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condición: New.

Condición: New.

Condición: New. In English.

Condición: New. In English.

Condición: New. In English.

Taschenbuch. Condición: Neu. Innovations in Neural Information Paradigms and Applications | Monica Bianchini (u. a.) | Taschenbuch | Studies in Computational Intelligence | x | Englisch | 2012 | Springer | EAN 9783642260971 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condición: New. In English.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms. …

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as algorithms in a computer friendly way, involves not only Mathem- ics and Computer Science but also Biology, Psychology, Cognition and Philosophy (among many other disciplines). Generally speaking, computers are fundamentally well-suited for performing au- matic computations, based on fixed, programmed rules, i.e. in facing efficiently and reliably monotonous tasks, often extremely time-consuming from a human point of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in tackling such complex tasks. On the other hand, humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial intelligence can help us understanding this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities. …

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as algorithms in a computer friendly way, involves not only Mathem- ics and Computer Science but also Biology, Psychology, Cognition and Philosophy (among many other disciplines). Generally speaking, computers are fundamentally well-suited for performing au- matic computations, based on fixed, programmed rules, i.e. in facing efficiently and reliably monotonous tasks, often extremely time-consuming from a human point of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in tackling such complex tasks. On the other hand, humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial intelligence can help us understanding this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities. …

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.…

Condición: New. pp. 304.

Condición: New. pp. 304.

Condición: New. pp. 538.

Condición: New. pp. 560.

Paperback. Condición: Brand New. 2010 edition. 304 pages. 9.25x6.10x0.69 inches. In Stock.

Hardcover. Condición: Brand New. 2013 edition. 558 pages. 9.25x6.10x1.34 inches. In Stock.

Condición: As New. Unread book in perfect condition.