虚弱
发表于 2025-3-30 09:43:34
Adaptive Conflict-Averse Multi-gradient Descent for Multi-objective Learningti-Gradient Descent (AdaCAGrad) algorithm. Our approach has a unique feature in that it can adjust the learning rate adaptively based on a specific condition, which sets it apart from other existing methods.
SLING
发表于 2025-3-30 16:10:47
Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals as a Pseudoconvex Vector Optimizated broadly without special forms on membership and nonmembership functions as in previous works. Computational experiments on real-world scenarios are reported to show the effectiveness of our method.
焦虑
发表于 2025-3-30 19:15:04
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LAITY
发表于 2025-3-30 20:50:57
Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filteringve the accuracy of recommendations for user-based collaborative filtering. Real-world datasets from MovieLens are used to do experiments that evaluate the effectiveness of the proposed method. Results show significant improvements in accuracy and efficiency based on ., ., and . metrics compared to other baseline methods.
Guileless
发表于 2025-3-31 01:33:20
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Fluctuate
发表于 2025-3-31 08:23:55
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congenial
发表于 2025-3-31 09:13:38
Research and Develop Solutions to Traffic Data Collection Based on Voice Techniquesic reports from a radio station, processing the data for training ASR models, and experimenting with different ASR models. In essence, this research endeavor strives to generate an enhanced dataset comprising authentic real-world data, leading to superior ASR model accuracy compared to the presently deployed ASR model within UTraffic.
Collected
发表于 2025-3-31 15:28:18
Reinforcement Learning for Portfolio Selection in the Vietnamese Marketal noise filtering delivers the best portfolio performance across the board, and the Actor-Critic using Kronecker-Factored Trust Region (ACKTR) and the PPO attain dominance in portfolio performance in the training data and testing data respectively.
孤僻
发表于 2025-3-31 21:15:39
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爱得痛了
发表于 2025-4-1 00:18:21
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