New Kind of Machine Learning-Cellular Automata Model
Language: English
Published by Springer Nature Switzerland AG, CH, 2025
- Hardcover
- New
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Add to basketItem description from seller
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 signi?cant 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, 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.…
Seller Inventory # LU-9789819615001
- Title
- New Kind of Machine Learning-Cellular Automata Model
- Author
- Parimal Pal Chaudhuri, Adip Dutta, Somshubhro Pal Choudhury, Dipanwita Roy Chowdhury, Raju Hazari
- Publisher
- Springer Nature Switzerland AG, CH
- Publication year
- 2025
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 9819615003
- ISBN 13
- 9789819615001
- Item weight
- 753 grams
- Dimensions
- 15.6 x 2.39 x 23.39 cm
This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver efficient 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 effectively.
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, offering a transparent, interpretable prediction algorithm.
Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and efficient hardware design through CA’s regular, modular, and scalable structure.
"Synopsis" may belong to another edition of this title.
About the Author
Prof. Dipanwita Roy Chowdhury has received her B.Tech and M.Tech degrees in Computer Science from University of Kolkata and the PhD degree from the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. She is a Professor in the Department of Computer Science and Engineering, IIT Kharagpur, India. Currently, she is the Head of the Department of Computer Science and Engineering, IIT Kharagpur. Her current research interests are in the field of Cryptography, Error Correcting Code, Cellular Automata, and VLSI Design and Testing. She has guided 15 PhD students and published more than 150 technical papers in International Journals and Conferences. Prof. Roy Chowdhury is the recipient of INSA Young Scientist Award and Associate of Indian Academy of Science. She is a Senior Member of IEEE and the Fellow of Indian National Academy of Engineers (INAE).
Dr. Raju Hazari has graduation (2009) and masters (2013) in Information Technology from Bengal Engineering and Science University, Shibpur, and PhD (2019) in Theoretical Computer Science from Indian Institute of Engineering Science and Technology, Shibpur. He is currently an Assistant Professor in the Department of Computer Science and Engineering at National Institute of Technology, Calicut. His main topics of interest are: Cellular Automata and Machine Learning.
"About the title" may belong to another edition of this title.
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