Titlebook: Machine Learning, Optimization, and Data Science; 7th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

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書目名稱Machine Learning, Optimization, and Data Science年度引用學科排名




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Machine Learning, Optimization, and Data Science978-3-030-95470-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620741.jpg

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項目

,Deep Reinforcement Learning for?Optimal Energy Management of?Multi-energy Smart Grids,the production and storage units within the smart grid is formulated as a Partially Observable Markov Decision Process (POMDP), and is solved using an actor-critic Deep Reinforcement Learning algorithm. The framework is tested on a novel multi-energy residential microgrid model that encompasses elec

Migratory

ULCER

A Machine Learning Approach to Daily Capacity Planning in E-Commerce Logistics,easing, which affects on-time delivery of regular parcels and groceries. An important constraint is the fact that a given number of delivery drivers have a limited amount of time and daily capacity, leading to the need for effective capacity planning. In this paper, we employ a Gaussian Process Regr

敵意

,Explainable AI for?Financial Forecasting,on of features that can effectively help modeling the given classification or regression task. This process is usually not trivial and it might lead to the development of handcrafted features. Within the financial domain, this step is even more complex given the general low correlation between featu

oncologist