Evaluating classification accuracy for modern learning approaches

Contrasting Machine Learning Approaches for Microtext Classification

The goal is classification of microtext: classifying lines of military chat, or posts, which contain items of interest. This paper evaluates non-linear statistical data modeling techniques, and compares with our previous results using several text categorization and feature selection methodologies. The chat posts are examples of 'microtext', or text that is generally very short in length, semi-...

Kernel learning approaches for image classification

Distance Learning: Modern Approaches to Engineering Education

Modern approaches to teaching and learning anatomy.

Modern Approaches in Deep Learning for SAR ATR

Recent breakthroughs in computational capabilities and optimization algorithms have enabled a new class of signal processing approaches based on deep neural networks (DNNs). These algorithms have been extremely successful in the classification of natural images, audio, and text data. In particular, a special type of DNNs, called convolutional neural networks (CNNs) have recently shown superior ...