Abstract: Anomaly detection is widely used in many fields to reveal the abnormal process of a system. Typical model-based anomaly detection methods work well in general anomaly detection problems.

After a historic 2024 season with over 2,200 yards, Saquon Barkley remains a high-end RB1 in 2025 fantasy football despite concerns over regression and Jalen Hurts’ red zone dominance. The change in ...

The current implementation of type_of_target in scikit-learn classifies any 1D array of integer-like values with more than two unique values as 'multiclass', even when the data is actually count or ...

Ordinal regression, or classification with ordered classes, naturally arises for a lot of problems where the target label are discrete preferences. This can be starts (X out of 5), ratings (X of out ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

Autistic regression refers to a loss of previously acquired skills or a backtracking of developmental milestones. In young children, it may represent autism onset. In older children and adults, it may ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

Abstract: Due to the rapid development of deep learning techniques, no-reference image quality assessment (NR-IQA) has achieved significant improvement. NR-IQA aims to predict a real-valued variable ...

For a niche subset of the Bitcoin maximalist circles, Ordinal Inscriptions have surprisingly and swiftly developed an outsized footprint in the cryptocurrency community. As of February 28, more than ...