Researchers at the California Institute of Technology and the startup Oratomic have published a theoretical framework showing ...

Researchers from Caltech and Oratomic, a Caltech-linked startup, published findings on March 31, 2026, arguing that a useful ...

Risankizumab, guselkumab, and ustekinumab were associated with the lowest risk for progression from psoriasis to psoriatic arthritis.

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on diagnostic ...

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Each implementation is optimized for its respective computing paradigm while maintaining classification accuracy.

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...

ABSTRACT: In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and ...