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Idioma: Inglés
Publicado por Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Añadir al carritoHardcover. Condición: new. Hardcover. This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver ecient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions eectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another signicant application is in multi-language Sentiment Analysis, where the model analyzes text in ve languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, oering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and ecient hardware design through CAs regular, modular, and scalable structure. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por Springer, Springer Apr 2025, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Añadir al carritoBuch. Condición: Neu. Neuware -This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions e ectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another significant application is in multi-language Sentiment Analysis, where the model analyzes text in five languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, o ering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and e cient hardware design through CA's regular, modular, and scalable structure. 412 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Apr 2025, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoBuch. Condición: Neu. Neuware -This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions e ectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another significant application is in multi-language Sentiment Analysis, where the model analyzes text in five languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, o ering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and e cient hardware design through CA's regular, modular, and scalable structure. 412 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Apr 2025, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Añadir al carritoBuch. Condición: Neu. Neuware -This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e¿cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions e¿ectively.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, CH, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Añadir al carritoBuch. Condición: Neu. Neuware - This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions e ectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another significant application is in multi-language Sentiment Analysis, where the model analyzes text in five languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, o ering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and e cient hardware design through CA's regular, modular, and scalable structure.
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Publicado por Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Añadir al carritoHardcover. Condición: new. Hardcover. This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver ecient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions eectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another signicant application is in multi-language Sentiment Analysis, where the model analyzes text in ve languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, oering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and ecient hardware design through CAs regular, modular, and scalable structure. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Springer, Springer Apr 2025, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Añadir al carritoBuch. Condición: Neu. Neuware -This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e¿cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions e¿ectively. 412 pp. Englisch.
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Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Publicado por Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
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Añadir al carritoHardcover. Condición: new. Hardcover. This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver ecient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions eectively.The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another signicant application is in multi-language Sentiment Analysis, where the model analyzes text in ve languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models.CAML uses CA rules for Unicode character modeling, oering a transparent, interpretable prediction algorithm.Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and ecient hardware design through CAs regular, modular, and scalable structure. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Idioma: Inglés
Publicado por Springer, Springer Apr 2025, 2025
ISBN 10: 9819615003 ISBN 13: 9789819615001
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e¿cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions e¿ectively.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 412 pp. Englisch.