Dpmax Dynamic Programming To The Max


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DPMax: Dynamic Programming to the Max Third Edition


DPMax: Dynamic Programming to the Max Third Edition

Author: Christian Colossus

language: en

Publisher: Lulu.com

Release Date: 2019-12-05


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DPMax stands for 'dynamic programming to the max'. It highlights the graphical and textual analyses of 2 of the most common dynamic programming algorithms: The Longest Common Subsequence and The Longest/Shortest Paths Using Weights. It takes a brief look at the subjects of optimization and dynamic programming before delving into the core subjects of the book. It is a must-have for bioinformaticians, computer scientists and molecular biologists.

DPMax: Dynamic Programming to the Max


DPMax: Dynamic Programming to the Max

Author: Christian Colossus

language: en

Publisher: Lulu.com

Release Date: 2019-11-22


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DPMax means 'Dynamic Programming to the Max'. It is a software tool that performs the textual and graphical analyses of common dynamic programming (DP) algorithms. It focusses on two DP algorithms: Longest Common Subsequence and Longest Paths by Weights.

Advances in Feature Selection for Data and Pattern Recognition


Advances in Feature Selection for Data and Pattern Recognition

Author: Urszula Stańczyk

language: en

Publisher: Springer

Release Date: 2017-11-16


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This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.