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Used for participle, depth learning algorithm
Date : 2025-11-17 Size : 827kb User : good berry

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A monographs which suitable for the theoretical basis of deep learning.
Date : 2025-11-17 Size : 20.5mb User : ruilin

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nonstationary random signal analysis and processing
Date : 2025-11-17 Size : 654kb User : zz2234

levy flight Applications in intelligent algorithms.
Date : 2025-11-17 Size : 9.86mb User : xiliu401

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A practical course for machine learning
Date : 2025-11-17 Size : 6.7mb User : xuyin218

To reduce the generation of candidate sequences and the scans to sequence database for AprioriAll algorithm, an efficient sequential pattern mining method based on improved AprioriAll algorithm is presented. Firstly, dat
Date : 2025-11-17 Size : 817kb User : sensensen

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MATLAB's power flow program, 14 nodes and 30 nodes
Date : 2025-11-17 Size : 30kb User : 呱呱瓜

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Apriori[1] is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger an
Date : 2025-11-17 Size : 651kb User : sensensen

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The Apriori algorithm was proposed by Agrawal and Srikant in 1994. Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequ
Date : 2025-11-17 Size : 793kb User : sensensen

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Time-frequency analysis of LFM signal by short time Fourier transform
Date : 2025-11-17 Size : 10kb User : 淡定给谁看啊

Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e. progressively improve performance on a specific task) with data, without being explicitly programmed.
Date : 2025-11-17 Size : 791kb User : sensensen

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he Caffe model after the training is generated for the.so library file, which is convenient to call in the project and does not need to write Caffe test code
Date : 2025-11-17 Size : 1.66mb User : tgeek22
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