MUTED
发表于 2025-3-25 03:30:53
http://reply.papertrans.cn/31/3085/308499/308499_21.png
granite
发表于 2025-3-25 07:58:45
https://doi.org/10.1007/978-3-030-53370-0r the diabetes UCI dataset are calculated by these ensemble methods. Different learning strategies assist physicians and clinicians in the early prediction of diabetes in the prepared outcomes. After all the observation, we find the final effects of the AdaBoostM1 Ensemble process contained 98% accuracy.
NIB
发表于 2025-3-25 13:34:48
Application of Machine Learning Algorithms in Agriculture: An Analysis, has emerged alongside big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in agricultural operational environments. This paper reviews the exiting techniques and methods of machine learning applicable in the agriculture sector.
策略
发表于 2025-3-25 17:35:15
Combined DCT-DWT Color Image Digital Watermarking Technique,e Red color (or R-channel) component of the color image for embedding the watermark. Once completing the embedding process, DCT technique is applied to 8X8 block of the color image. The results of proposed algorithm strongly maintain image quality and also it is sufficient for general image processing tasks.
无关紧要
发表于 2025-3-25 21:27:49
http://reply.papertrans.cn/31/3085/308499/308499_25.png
西瓜
发表于 2025-3-26 02:12:30
http://reply.papertrans.cn/31/3085/308499/308499_26.png
打折
发表于 2025-3-26 04:27:12
http://reply.papertrans.cn/31/3085/308499/308499_27.png
挑剔为人
发表于 2025-3-26 09:09:36
http://reply.papertrans.cn/31/3085/308499/308499_28.png
Pde5-Inhibitors
发表于 2025-3-26 15:25:49
http://reply.papertrans.cn/31/3085/308499/308499_29.png
SLAY
发表于 2025-3-26 18:06:33
A Theoretical Approach to Reinforcement Learning Algorithm and Nash Equilibrium to Maximize the Scold be best technique for training the agent. It will learn fromas much as it plays, such that our agent can play and win the game with different persons with their differentplaying strategy they use for Scrabble game. To do this, our agents need to find out about other players‘ strategies and win every time they play against the human.