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New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of  Applied ... (Lecture Notes in Computer Science)
New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of Applied ... (Lecture Notes in Computer Science)
Applied artificial intelligence researchers have been focusing on developing and employing methods and systems to solve real-life problems in all areas including engineering, science, industry, automation & robotics, business & finance, cyberspace, and man–machine interactions. The 20th International...
Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
Heuristic and Optimization for Knowledge Discovery
Heuristic and Optimization for Knowledge Discovery
With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic...
Telecommunications Optimization: Heuristic and Adaptive Techniques
Telecommunications Optimization: Heuristic and Adaptive Techniques
Each of us is interested in optimization, and telecommunications. Via several meetings,
conferences, chats, and other opportunities, we have discovered these joint interests and
decided to put together this book.
It certainly wasn’t easy. What made it difficult is partly the reason for this book in the
first place: things
...
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

Build, train, and deploy intelligent applications using Java libraries

Key Features

  • Leverage the power of Java libraries to build smart applications
  • Build and train deep learning models for implementing artificial intelligence
  • Learn various algorithms to...
RESTful Java Web Services
RESTful Java Web Services
If you are already familiar with REST theory but are new to RESTful Java web services, and want to use the Java technology stack together with Java RESTful frameworks to create robust web services, this is the book for you.

This book is a guide to developing RESTful web services using Java and the most popular RESTful frameworks
...
Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals
Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals

The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand....

Multiple Wiener-Itô Integrals: With Applications to Limit Theorems
Multiple Wiener-Itô Integrals: With Applications to Limit Theorems

The goal of this Lecture Note is to prove a new type of limit theorems for normalized sums of strongly dependent random variables that play an important role in probability theory or in statistical physics. Here non-linear functionals of stationary Gaussian fields are considered, and it is shown that the theory of Wiener–Itô...

Inverse Problem Theory and Methods for Model Parameter Estimation
Inverse Problem Theory and Methods for Model Parameter Estimation
‘Tarantola's book is undoubtedly the most important work on probabilistic inverse theory. It presents a complete theory where a physical parameter is represented, not by a number, but by a probability distribution.’ Klaus Mosegaard, Niels Bohr Institute

The use of actual observations to infer the properties of a
...
Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011
Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011

Over the last few decades, energy minimization methods have become an established paradigm to resolve a variety of challenges in the fields of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed a very limited...

Mathematical Methods for Physics and Engineering: A Comprehensive Guide
Mathematical Methods for Physics and Engineering: A Comprehensive Guide
From reviews of previous editions: '...a great scientific textbook. It is a tour de force ... to write mathematical sections that are both complete and at an appropriate academic level. The authors have clearly succeeded in this challenge, making this a remarkable pedagogical book ... The choice of exercises is excellent and possibly the best...
Multi-Objective Swarm Intelligent Systems: Theory & Experiences (Studies in Computational Intelligence)
Multi-Objective Swarm Intelligent Systems: Theory & Experiences (Studies in Computational Intelligence)
Recently, a new class of heuristic techniques, the swarm intelligence has emerged. In this context, more recently, biologists and computer scientists in the field of “artificial life” have been turning to insects for ideas that can be used for heuristics. Many aspects of the collective activities of social insects,...
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