There was an error while loading. Please reload this page. A collection of papers on anomaly detection (tabular data/time series/image/video/graph/text/log) with the ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Multicollinearity exists when there is a correlation between multiple independent variables in a multiple regression model. This can adversely affect the regression results. A variance inflation ...

This paper presents a sample-rebalanced and outlier-rejected k-nearest neighbor regression model for short-term traffic flow forecasting. In this model, we adopt a new metric for the evolutionary ...

In particular, it measures the degree of dispersion of data around the sample's mean. Investors use variance to see how much risk an investment carries and whether it will be profitable.

Most of the model portfolios laid out in the sections ... t owe any taxes at all on qualified distributions.) This series of sample portfolios for retirees is designed to be held in tax-sheltered ...

In this paper, we proposed a framework, called Mulr4FL, for fault localization using a multivariate logistic regression model that combined both static and dynamic features collected from the program ...

TL;DR: Our Describe Anything Model (DAM) takes in a region of an image or a video in the form of points/boxes/scribbles/masks and outputs detailed descriptions to the ...

There is no tropical storm activity for this region. Be prepared and learn helpful tips and information that will help you know what to do in the event of a storm-related emergency.

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...