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Linear regression gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Scientific Research Publishing

W. S. Cleveland and S. J. Devlin, “Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting,” Journal of the American Statistical Association, Vol ...

ABSTRACT: This paper addresses an important issue in model combination, that is, model locality. Since usually a global linear model is unable to reflect nonlinearity and to characterize local ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Oil & Gas Journal

New PVT models describe Rmelan crude

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...
GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
IEEE

Refining Time-Space Traffic Diagrams: A Simple Multiple Linear Regression Model

Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...
GitHub

Language-Based Multimodal Trajectory Prediction

Traditional vs. Our language-based trajectory prediction, LMTraj. We provide scripts to evaluate our LMTraj-ZERO model for all datasets simultaneously. Two scripts ...
Indiatimes

At 59, the mother of two is an international model and famous bodybuilder. She shares 6 steps to stay fit and toned body just like hers

Most people assume that fitness has an expiry date, somewhere after marriage, kids, or turning 40. For many, responsibilities slowly take priority, and the body becomes an afterthought. But then ...
IEEE

Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...