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“Dr. Seethaler has written an excellent book for any interested student of science. She answers great questions about the world around us in this fascinating book. As a high school science teacher, I encounter many of these from my own students. I would highly recommend this book for anyone who has pondered...

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs).  EDAs have arisen as one of the most successful experiences in the application of machine learning methods in...

If you want to build a better life and a better world—and really be prepared for any possible future in these turbulent times—you need to become a resilient investor! This trailblazing guide will expand your ideas of investing way beyond Wall Street. Your...

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...