Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Diagram of BILSTM-AEAM algorithm structure. by Hao Cao (2248066)

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Results of RF algorithm screening factors. by Jintao Li (448681)

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”

Long short-term memory network structure diagram. by Hai Huang (140371)

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Algorithm process. by Wei Cui (92129)

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by Guangyin Jia (21075537)

“…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …”

Supporting data for "Toward Self-Improving and Sustainable Large Language Models" by Qintong Li (11173806)

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Data and code. by Hao Cao (2248066)

Subjects:

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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Enhancing off-policy optimisation in structured Markov decision processes via Thompson Sampling by Sourav Ganguly (293262)

“…<p>Reinforcement Learning (RL) provides a framework for solving sequential decision-making tasks, yet limited and potentially unsafe data hinder its training process. …”

The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

Subjects:

Ten test sets of data. by Hao Cao (2248066)

Subjects:

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

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The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

Subjects:

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

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The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

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A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms by Xingan Chen (11334186)

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)