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Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
Principles of Model Checking
Principles of Model Checking
Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. One such technique that has emerged in the last twenty years is model checking, which systematically (and automatically) checks whether a model of a...
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Fundamentals of Digital Imaging in Medicine
Fundamentals of Digital Imaging in Medicine
There was a time not so long ago, well within the memory of many of us, when medical imaging was an analog process in which X-rays, or reflected ultrasound signals, exiting from a patient were intercepted by a detector, and their intensity depicted as bright spots on a fluorescent screen or dark areas in a photographic film. The...
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is...
Sequence Data Mining (Advances in Database Systems)
Sequence Data Mining (Advances in Database Systems)
Sequences are an important type of data which occur frequently in many scientific, medical, security, business and other applications. For example, DNA sequences encode the genetic makeup of humans and all species, and protein sequences describe the amino acid composition of proteins and encode the structure and function of...
Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press)
Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press)

A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.

In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data...

Temporal Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery)
Temporal Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery)

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today.

From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers...

Computer Vision Metrics: Survey, Taxonomy, and Analysis
Computer Vision Metrics: Survey, Taxonomy, and Analysis

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors...

Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)
Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)
"In recent years, comprehensive texts have been written for several of the other major areas of Artificial Intelligence, including machine learning, natural-language processing, and constraint-satisfaction processing, but until now, the field of planning has been devoid of such a resource, despite the considerable number of advances in and the...
Submarine Mass Movements and their Consequences: 7th International Symposium
Submarine Mass Movements and their Consequences: 7th International Symposium

This book is a comprehensive collection of state-of-the-art studies of seafloor slope instability and their societal implications. The volume captures the most recent and exciting scientific progress made in this research field.

As the world’s climate and energy needs change, the conditions under which slope instability...

Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
A general scenario that has attracted a lot of attention for multimedia information retrieval is based on the query-by-example paradigm: retrieve all documents from a database containing parts or aspects similar to a given data fragment. However, multimedia objects, even though they are similar from a structural or semantic viewpoint, often reveal...
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