This paper proposes a novel modeling framework, referred to as a fully-connected regression model (FCRM), where the crucial role is played by Bayesian Optimization (BO), incorporated to determine the ...

The regression line and the threshold are intersecting at x = 19.5.For x > 19.5 our model will predict class 0 and for x <= 19.5 our model will predict class 1. On this type of balance data, linear ...

Age estimation is important in computer vision and surveillance systems. In this paper, we apply a two-stage and multi-class learning-based architecture to perform age estimation. First, the concepts ...

Modify the regression model architecture or features. Incorporate domain-specific metrics in your optimization objective. Remember, the key to RegMix's success is in capturing the relationship between ...

We also include a version of the ElemNet model architecture, which we call ElemNet-Phys, that takes in physical attributes as input. ... Note that in order to evaluate all band gap regression models ...

A simple Pytorch deep learning model for predicting the house price. Lightweight Transformer model is tested for accuracy. The Transformer architecture is utilized to capture pair-wise affinity of all ...