Abstract: This paper proposes a new hybrid structure and microwave modeling method that combines polynomial regression with batch-normalized deep feedforward neural network (BN-DFN) to be used in high ...

When using a Pipeline with PolynomialFeatures and Ridge, it's unclear in the documentation how to extract the actual model coefficients and intercept to reproduce the regression equation manually ...

I asked and answered a question about Regression in Stack Overflow. Here is a summary and question. I ran several regressions using pipeline and gridsearch. The winning regression was polynomial ridge ...

Objectives: This study aimed to investigate the relationship between cumulative fluoroscopy dose and eye lens radiation dose among interventional radiologists, and to develop a predictive model to ...

Ethereum Layer 2 scaling solutions may soon hit their limits in efficiently scaling the mainnet, warns Gautham Santhosh, co-founder of Polynomial.fi. Layer 2 solutions are protocols or networks built ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

1 Department of Statistics, College of Arts and Science, University of Benghazi, Benghazi, Libya. 2 Department of Mathematics, College Arts and Science, University of Benghazi, Benghazi, Libya. 3 ...

Large Language Models (LLMs) have revolutionized data analysis by introducing novel approaches to regression tasks. Traditional regression techniques have long relied on handcrafted features and ...

Human echolocation has at times allowed people to ride bikes or play basketball despite being completely blind from a very young age. These echolocators typically perceive their environment by ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. And no, in case you were wondering, python is not a snake in ...