Abstract: Outlier detection is an important problem with applications in many fields. Such applications generally process high dimensional datasets. Among the existing methods of detecting outliers, ...

1. Given noisy data with outliers. 2. Smooth data using a flat CCMA kernel for global emphasis. - Utilize a flat kernel, such as uniform, to prevent excessive focus on individual data points. - The ...

「時給5,000円」「在宅で完全リモート」「好きな時間に働ける」――こんな魅力的なキーワードで注目を集めているAI業界の新たな働き方「Outlier」。 実際のところ、どれほど稼げるのか？ どんなスキルが必要なのか？ この記事では、Outlierの全容を正確な ...

This project contains a simple example to show how a gRPC client can access an external gRPC service, with outlier detection configured to eject instances of the service when there are 5 consecutive ...