Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning...

Raspberry Pi A Quick-Start Guide
Raspberry Pi A Quick-Start Guide
Over the past decades computers have gotten cheaper and cheaper, so today you can find them not only beneath your desk but in nearly every consumer electronics device such as smartphones or DVD players. Still, computers aren’t so cheap that you spontaneously buy one when shopping for your groceries. Usually, you carefully...
Guided Self-Organization: Inception (Emergence, Complexity and Computation)
Guided Self-Organization: Inception (Emergence, Complexity and Computation)

Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn’t this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then...

The 3rd International Workshop on Intelligent Data Analysis and Management (Springer Proceedings in Complexity)
The 3rd International Workshop on Intelligent Data Analysis and Management (Springer Proceedings in Complexity)

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving...

Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...
Office 2003 Application Development All-in-One Desk Reference For Dummies
Office 2003 Application Development All-in-One Desk Reference For Dummies
8 books in 1, plus companion Web site with source code!

Your one-stop guide to taking Office 2003 to the next level

So you’re an Office programmer, experienced user, IT professional, or developer. You know there’s lots of power in Office 2003 you’re not using. Help is on...

Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)

Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification...

Dynamic Vision for Perception and Control of Motion
Dynamic Vision for Perception and Control of Motion
The application of machine vision to autonomous vehicles is an increasingly important area of research with exciting applications in industry, defense, and transportation likely in coming decades.

Dynamic Vision for Perception and Control of Road Vehicles has been written by the world's leading expert on autonomous road-following...

Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined...
Advanced Spectrum Machine Language
Advanced Spectrum Machine Language
This book is a collection of ready-made machine language routines that show how to achieve spectacular effects on the Spectrum. Most of the routines are aimed at creating visual displays that are at the frontiers of Spectrum's capabilities. The routines include features that have never been published before, such as:

• Full Screen
...
Robot Builder's Bonanza, 4th Edition
Robot Builder's Bonanza, 4th Edition

Which of these fields are involved in robotics? You may choose from the following: engineering, electronics, psychology, sociology, biology, physics, artificial intelligence, math, art, mechanical design, mechanical construction, computer programming, sound synthesis, vision, ultrasonics, linguistics, microelectronics, process control,...

unlimited object storage image
Result Page: 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 
©2021 LearnIT (support@pdfchm.net) - Privacy Policy