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Total Size:
17.3 MB
Info Hash:
9926DFEB2A12BBAC5813E3D6FB057246F8B6D690
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April 20, 2026, 5:21 a.m.
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(Last updated: April 20, 2026, 5:21 a.m.)
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| ['Chaudhuri P. New Kind of Machine Learning-Cellular Automata Model 2025.pdf'] | 0 bytes |
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17.3 MB
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2026-04-20
| Uploaded by andryold1 | Size 17.3 MB | Health [ 24 /24 ] | Added 2026-04-20 |
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17.5 MB
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| Uploaded by andryold1 | Size 17.5 MB | Health [ 25 /48 ] | Added 2025-06-08 |
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2026-04-18
| Uploaded by andryold1 | Size 14.2 MB | Health [ 47 /41 ] | Added 2026-04-18 |
NOTE
SOURCE: Chaudhuri P. New Kind of Machine Learning-Cellular Automata Model 2025
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COVER
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MEDIAINFO
Textbook in PDF format 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. The input data, used in the experiment, is generated using Python library Scikit-learn and are defined as n-bit binary strings. Certain linear transformations are performed and with different noise in the data generated to get the desired binary dataset required for the experimentation in the system. To use dataset, available in public domain, it is required to create binary data to be used for the experimental setup in the current CA model. 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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