Morning Overview on MSN

Chevy’s radical Corvette plan is stuck. Should it go ahead?

I’ve watched the Corvette evolve from a fiberglass curiosity into a mid-engine supercar, but the next leap—going radically electric and possibly reshaping its identity—remains stuck in limbo. Chevy’s ...
arrobajuarez.com

Which Of The Following Is Not A Time Series Model

Why it's not a time series model: Decision trees are non-parametric models that partition the data into subsets based on a ...
IEEE

Experimental Demonstration of Stochastic Bayesian Inference Using Müller C-Elements

Abstract: Naïve Bayesian inference enables classification or prediction of an event given observations of potentially contradictory evidences, and is particularly intriguing in power-limited contexts ...
Frontiers

A hierarchical multi-class classification system for face and text datasets

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
IEEE

A Novel Naive Bayesian Text Classifier

Abstract: The naive Bayesian (NB) classifier is one of the simple but most efficient and stable classification methods. The great efficiency of NB is mainly because of the conditionally independence ...
Frontiers

An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields

1 Department of Computer Science, College of Computer Engineering and Science, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia 2 Otto-von-Guericke-University Magdeburg (IIKT), Magdeburg ...
Visual Studio Magazine

Naive Bayes Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...
Visual Studio Magazine

Naive Bayes Regression Using C#

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...