Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...

Abstract: This paper introduces a generalized quantum-classical dual kernel learning method for Support Vector Machines (SVMs), extending its application to both classification and regression tasks.

Crypto exchange Coinbase Global (COIN) agreed to acquire Vector, an onchain trading platform built on solana (SOL-USD), the company said on Friday. Integrating Vector's technology into Coinbase's ...

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ABSTRACT: Predicting knowledge of tuberculosis (TB) could imply several significant changes in the management, control and prevention of this disease. These would be based on advanced technological ...

[~/regression-testing]$ hyperfine --warmup=10 "cp313/python/bin/python3.13 dicttest.py" "cp314/python/bin/python3.14 dicttest.py" Benchmark 1: cp313/python/bin ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...

Abstract: This letter proposes a quantum-enhanced support vector regression (QSVR) approach to cancel the self-interference in full-duplex transceivers. The proposed approach leverages quantum feature ...

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

Objective: In this study, we aim to identify the predictive variables for hemiplegic shoulder pain (HSP) through machine learning algorithms, select the optimal model and predict the occurrence of HSP ...