„Dynamic Data Structures“
Suchergebnisse
2.252 Treffer
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Siamese network with squeeze-attention for incomplete multi-view multi-label classification
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A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools
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Fusing feature consistency across views for multi-view stereo
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Preference-based expensive multi-objective optimization without using an ideal point
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Information coevolution spreading model and simulation based on self-organizing multi-agents
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Towards few-shot learning with triplet metric learning and Kullback-Leibler optimization
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A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
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An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification
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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training
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Fine-grained entity disambiguation through numeric pattern awareness in transformer models
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PLGNN: graph neural networks via adaptive feature perturbation and high-way links
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Enhanced APT detection with the improved KAN algorithm: capturing interdependencies for better accuracy
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Eye contact based engagement prediction for efficient human–robot interaction
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Modeling Fault Dynamics of Interdependent Assets in Complex Urban Environments Using Open-Data: Extended Version
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Enhancing dynamic hand gesture recognition through the HMM-LRB/LR algorithm
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An Effective Crop Recommendation System Using A Dynamic Salp Swarm Algorithm with Adaptive Weighting Based LSTM Network
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Dynamic Adaptive FedCOM: A Novel Communication-Efficient Approach for Federated Learning
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Optimization and Its Applications in Control and Data Sciences – In Honor of Boris T. Polyak’s 80th Birthday
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Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8 – Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016
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A unified and scalable machine learning framework for feature fusion in object classification using weighted PCA with adaptive concatenation and dynamic scaling