SAN FRANCISCO (KGO) -- Union Square was alive Friday with the sights and sounds of the holidays. "I love it. It's a really cool place. I love hanging out here," said Jack Moss. But while some were ...

Abstract: For the online distributed estimation problem of time-varying parameters, we study a linear regression model with measurement noises over time-varying random graphs. We propose a distributed ...

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

Abstract: The k-nearest neighbor graph is an important structure in many data mining methods for clustering, advertising, recommender systems, and outlier detection. Constructing the graph requires ...