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Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning Entropy Randomization in Machine Learning considers several applications to binary classification modelling the dynamics of the Earth’s population predicting seasonal electric load fluctuations of power supply systems and forecasting the thermokarst lakes area in Western Siberia. Features • A systematic presentation of the randomized machine-learning problem: from data processing through structuring randomized models and algorithmic procedure to the solution of applications-relevant problems in different fields • Provides new numerical methods for random global optimization and computation of multidimensional integrals • A universal algorithm for randomized machine learning This book will appeal to undergraduates and postgraduates specializing in artificial intelligence and machine learning researchers and engineers involved in the development of applied machine learning systems and researchers of forecasting problems in various fields.

GBP 82.99
1

3-in-1 Full Body Workout Ergonomic Squat Machine Fitness Body Exercise Machine Black

3-in-1 Full Body Workout Ergonomic Squat Machine Fitness Body Exercise Machine Black

This Squat Machine from HOMCOM to helps you do exercise for your whole body in one workout. You can lay back over the support bar for sit-ups, or use the dual handles at the back of the machine for elevated push-ups and planks to work your entire body. The height adjustable pads make this equipment versatile for all body types. Four suction cups keep the machine securely on the floor while you work out. Start building your perfect body today with this 3-in-1 squat machine! Features: 3 in 1 exercise machine for deep sissy squats, sit-ups, and push-ups Build abdomen and leg muscles Constructed of heavy duty steel that can support up to 120kg Comfortable foam pads and footrest to protect your legs Fully adjustable pad heights and positions to fit your height and body type Non-slip foot plate with 4 suction cups to keep the machine in place Assembly required Specification: Item Name: Squat Machine Brand: HOMCOM Color: Black Material: Steel,EVA Overall Dimenson: 50W x 97D x 44.5-56.5H cm Weight Capacity: 120kg Flat Pack: Yes Custom Label: A91-069 1 x squat machine 1 x Instruction?

GBP 59.99
1

Introduction to Machine Learning and Bioinformatics

Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation the authors explore how machine learning techniques apply to bioinformatics problems such as electron density map interpretation biclustering DNA sequence analysis and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems Shedding light on aspects of both machine learning and bioinformatics this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.

GBP 59.99
1