Computational thinking and problem-solving: This involves breaking complex problems into manageable parts, recognizing patterns, creating abstractions, and developing step-by-step solutions.

Pattern recognition and computer vision and their applications have experienced enormous progress in research and development over the last two decades. This comprehensive handbook, with chapters by ...

implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection ...

This lesson introduces computational thinking, focusing on problem decomposition, algorithm development, and abstraction, to build foundational skills for programming and problem-solving.

Dr. Rigoutsos says that a computational biology approach, which analyzes massive quantities of data to find hidden patterns of sncRNAs, will be key for understanding neurodegenerative diseases ...

Abstract: In the pursuit of advancing computational lithography, this paper introduces a novel pattern database framework designed to support related tasks. The proposed framework is built upon three ...

In addition to visual thinking, there is pattern thinking and word thinking. Each of the three types of thinking is a continuum. People without autism may have some specialization, but people with ...