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Machine Learning content
For What It’s Worth: Measuring Land Value in the...
This paper develops a new method for valuing land, a key asset on a nation’s balance sheet. The method first employs an unsupervised machine learning method, which means clustering, to…
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Structure-Driven Algorithm Design in Optimization...
A textbook property of optimization algorithms is their ability to optimize problems under generic regularity conditions. However, the performance of these fundamental and general-purpose optimization algorithms is often unsatisfactory; indeed,…
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Automation, Artificial Intelligence, and Machine...
This In Focus discusses developments in automated decision-making, artificial intelligence (AI), and machine learning (ML) in consumer loan underwriting. First, it focuses on market developments, and then it discusses the…
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As the Built Environment Changes, AI and Machine...
AI has become an indispensable tool for city governments for planning, emergency services, transportation, utilities, property assessment, inspections, parks and recreation, and other service activities. This article will outline some…
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Health Industry Cybersecurity – Artificial...
The promise of Artificial Intelligence/Machine Learning (AI/ML) comes at a price: artificial intelligence systems, especially those dependent on machine learning (ML), can be vulnerable to intentional attacks that involve evasion,…
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Adversarial Machine Learning: A Taxonomy and...
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML). The taxonomy is arranged in a conceptual hierarchy that includes…
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