How can we foster public understanding and trust in machine learning technologies?

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Feb 17, 2023 ... Information Value is commonly used in feature selection, which is the process of identifying the most important features in a dataset. Features ... Finally, our paper refers to recent machine learning applications to forecasting financial markets and portfolio selec- tion (classification algorithms, genetic ... Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. The ... Mar 27, 2025 ... Admissible ML introduces two methodological tools: Infogram, an “information diagram”, is a new graphical feature-exploration method that ... May 21, 2024 ... ... machine learning and deep learning models to reliably predict informational support questions and responses. We employed explainable AI to ... An innovative, 30-credit hour interdisciplinary graduate program, you'll be supported to excel with advanced knowledge in the rapidly evolving domain of AI. Mar 24, 2024 ... AAAI Technical Track on Machine Learning VI. A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks ... AI is a branch of computer science that aims to build machines capable of performing tasks that typically require human intelligence. The article discusses a machine learning method for a control system for a hand limb prosthesis with a non-invasive biosignal reading system, which operates in ... Enables effective use of AI across government agencies: NIST develops guidelines, tools, and benchmarks that support responsible use of AI. This includes ...
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