Understanding the Least Squares Criterion for Accurate Data Fitting

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.
B2B Marketing Magazine

MARKETING AREAS

Discover real-world Account Based Marketing (ABM) and Demand Generation insights to help drive your B2B success. Explore our expert-led resources and best practices for targeting high-value accounts, ...
IEEE

Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation

Abstract: Unsupervised domain adaption (UDA) aims to reduce the domain gap between labeled source and unlabeled target domains. Many prior works exploit adversarial learning that leverages ...
IEEE

Generalized Characteristic Function Loss for Crowd Analysis in the Frequency Domain

Abstract: Typical approaches that learn crowd density maps are limited to extracting the supervisory information from the loosely organized spatial information in the crowd dot/density maps. This ...