Robotics & Machine Learning Daily News2024,Issue(Jun.12) :112-113.

New Findings from Technical University Munich (TU Munich) Describe Advances in Machine Learning (Interpretable Machine Learning for Mode Choice Modeling on Tracking-Based Revealed Preference Data)

慕尼黑技术大学(慕尼黑理工大学)的新发现描述了机器学习的进展(可解释机器学习用于基于跟踪的显示偏好数据的模式选择建模)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :112-113.

New Findings from Technical University Munich (TU Munich) Describe Advances in Machine Learning (Interpretable Machine Learning for Mode Choice Modeling on Tracking-Based Revealed Preference Data)

慕尼黑技术大学(慕尼黑理工大学)的新发现描述了机器学习的进展(可解释机器学习用于基于跟踪的显示偏好数据的模式选择建模)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新数据在一份新的报告中呈现。根据NewsRx编辑在德国Y慕尼黑的新闻报道,研究表明,"模式选择建模对于预测和理解旅行行为至关重要。"

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Munich, German y, by NewsRx editors, research stated, “Mode choice modeling is imperative for predicting and understanding travel behavior.”

Key words

Technical University Munich (TU Munich)/Munich/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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