High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...
Abstract: Sample site selection is crucial for asteroid sample return missions, requiring a strategy that considers factors such as terrain and illumination for mission safety. However, the lack of ...
Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...
1 Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing, China 2 Key Laboratory of Intelligent Agricultural Technology (Changjiang Delta), Ministry of Agriculture ...
University of Calgary provides funding as a founding partner of The Conversation CA. University of Calgary provides funding as a member of The Conversation CA-FR. A public interest group filed a U.S.
Abstract: Currently, there are various problems in the field of network attack-defense analysis and deception asset deployment of game theory-based, such as difficulties in constructing attack and ...
An artificial intelligence (AI)-assisted hardware design platform enables engineers to find the right components for their design projects using machine learning and smart algorithms. It selects the ...
Traditional traffic management techniques appear to be incompetent in complex data center networks, so proposes a load balancing strategy based on Long Short-Term Memory (LSTM) and quantum annealing ...
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