A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on ...

Hello, I found a parameter set where the converted XGBoost model is inconsistent with the original. Here's the minimal reproduction: from onnxmltools.convert import convert_xgboost import onnxruntime ...

They suggested the use of Support Vector Machine (SVM) and XGBoost algorithms. To evaluate the performance of the proposed ML models, they compared them with four empirical models, and the evaluation ...

Gas turbines play a crucial role in processing industries and power generation, but their emissions present significant environmental challenges. Accurate emissions prediction is essential, with ...

Generative algorithms model the distribution of data points with the goal of predicting the joint probability of a data point appearing in a particular space, whereas discriminative algorithms model ...

This study aims to develop a reliable and efficient prediction algorithm that utilizes unbiased transformation to improve machine learning model performance on interval-censored data. Therefore, we ...

OpenAI released its newest AI model and said it can understand uploaded images like whiteboards, sketches and diagrams, even if they’re low quality.

A tuned XGBoost classifier demonstrated robust performance, achieving an accuracy of 73.54%, an F1-score of 0.7063, and a ROC-AUC of 0.7990. Key visualizations, including confusion matrices, ROC ...

AI startup Runway on Monday released what it claims is one of the highest-fidelity AI-powered video generators yet.