Key Takeaways OpenAI's breakthrough started with brain-inspired networks everyone can learnFinancial institutions pay ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

This reductionist approach relies on correlation and regression analyses and ... moving from risk factors to risk pattern recognition. This conceptual paper was developed on the basis of reflections ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

This paper presents a classification method, which is based on the support ... This paper uses three methods, local weighted projection regression (LWPR), artificial neural network (ANN) and SVM, to ...

In this paper, we propose an accurate KPI anomaly detection and fault classification method, which can adapt to multiple metrics and diverse fault types. It can automatically extract common anomalous ...

This repo contains code for our paper: PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition [1 ... CNN architectures for large-scale audio classification. In 2017 IEEE ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...