Search alternatives:
robust algorithm » forest algorithm (Expand Search), best algorithm (Expand Search), forest algorithms (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
data making » data backing (Expand Search), data mining (Expand Search), data tracking (Expand Search)
develop » developed (Expand Search)
robust algorithm » forest algorithm (Expand Search), best algorithm (Expand Search), forest algorithms (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
data making » data backing (Expand Search), data mining (Expand Search), data tracking (Expand Search)
develop » developed (Expand Search)
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Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Published 2025“…Our goal is to analyze data from a unique field experiment on an algorithmic pre-trial risk assessment to investigate whether the scores and recommendations can be improved. …”
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Risk element category diagram.
Published 2025“…The LSTM algorithm can play a role in providing early warning, assisting decision-making, optimizing resources, and enhancing real-time monitoring in airport security assurance. …”
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A robust privacy-preserving online monitoring algorithm for disease surveillance
Published 2025“…To achieve disease surveillance in a timely and privacy-preserving manner, we develop an online monitoring algorithm based on differential privacy. …”
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Robust control scheme.
Published 2025“…This article presents the design of a hybrid self-learning algorithm to address the above challenges. The proposed approach is developed by integrating fuzzy logic and neural network structures into an Adaptive Network-Based Fuzzy Inference System (ANFIS), which leverages the strengths of both components. …”
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Ranking of ML algorithms.
Published 2025“…Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. …”