IEEE

Linear Feature Source Prediction and Recombination Network for Noisy Label Learning

Abstract: Collecting training data for deep models from the Internet is a common data acquisition approach. However, there are challenges in using these data directly, as they often contain inaccurate ...
eLife

Pupil dilation offers a time-window on prediction error

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
GitHub

Akshaylinson/House-Price-Prediction---Linear-Regression-AI-ML

house-price-prediction(linear-regression_p1)/ ├── assets/ # Static assets ├── data/ # Dataset files │ ├── house_prices.csv # Training dataset │ └── house_prices_1M.csv # Large generated dataset ├── ...
The Motley Fool

Prediction: After Gaining 2% in 10 years, This Dow Jones Value Stock Will Crush the S&P 500 Over the Next Decade

Disney stock has done poorly because of weak earnings. The company is investing heavily in direct-to-consumer and experiences. Disney’s valuation is cheap, so even moderate earnings growth could make ...
Invezz

Tutorial price prediction: TUT price up 66% in 3 months, but how high can it go?

Tutorial platform has launched Learn Platform, Web3 domains, and gaming integration. TUT price analysis is bullish with RSI at 54.63 and strong volume. Binance spotlight boosts visibility but niche ...
Scientific Research Publishing

Kalman, R. E., & Bucy, R. S. (1961). New Results in Linear Filtering and Prediction Theory. Journal of Basic Engineering, 83, 95-108.

ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...
Scientific Research Publishing

Kalman, R. E. (1960). A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering, 82, 35-45.

ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...