abracadabra
发表于 2025-3-23 13:05:00
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acrophobia
发表于 2025-3-23 16:06:59
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dainty
发表于 2025-3-23 19:00:22
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额外的事
发表于 2025-3-24 00:23:56
Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems,valuations. The surrogate, which is cheaper to evaluate, is optimized instead to find an approximate solution to the original problem. In the case of discrete problems, recent research has revolved around discrete surrogate models that are specifically constructed to deal with these problems. A main
REIGN
发表于 2025-3-24 03:37:41
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Insul岛
发表于 2025-3-24 08:14:25
A Spiking Neuron Implementation of Genetic Algorithms for Optimization,ties for making use of efficient neuromorphic hardware. Two types of implementation are explored that offer a complexity trade-off between computational space and time, with both designs having linear energy complexity. The designs were implemented in a simulator to successfully solve the one-max op
江湖骗子
发表于 2025-3-24 12:02:41
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ALE
发表于 2025-3-24 14:57:03
,A Semantic Tableau Method for Argument Construction,for standard propositional and predicate logic is addressed. Next, an extension that enables reasoning with defeasible rules is presented. Finally, reasoning by cases using an argumentation tableau is discussed.
farewell
发表于 2025-3-24 20:45:50
,‘Thy Algorithm Shalt Not Bear False Witness’: An Evaluation of Multiclass Debiasing Methods on Wordpecifically, in the natural language processing domain, it has been shown that social biases persist in word embeddings and are thus in danger of amplifying these biases when used. As an example of social bias, religious biases are shown to persist in word embeddings and the need for its removal is
等待
发表于 2025-3-24 23:38:28
,An Intelligent Tree Planning Approach Using Location-Based Social Networks Data,where contact with nature is largely reduced to street trees and parks. As optional tree planting sites and financial resources are limited, determining the best planting site can be formulated as an optimization problem with constraints. Can we locate these sites based on the popularity of nearby v