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Pixelization Paradigm: Visual Information Expert Workshop, VIEW 2006, Paris, France, April 24-25, 2006, Revised Selected Papers
Pixelization Paradigm: Visual Information Expert Workshop, VIEW 2006, Paris, France, April 24-25, 2006, Revised Selected Papers
We propose in this paper an outline of Pixelization Paradigm formalization. The aim of this approach is both theoretic and applied.

Theoretic by the way we believe in the heuristic value of theoretical approach: it is well known that generalizing a theory allows on the one hand enlarging the application field of this theory and on the
...
Usability Engineering (Interactive Technologies)
Usability Engineering (Interactive Technologies)
The purpose of Jakob Nielsen's Usability Engineering is to help nontechnical people improve the systems so that

they are not only error-free but also easier and more pleasant to use, and more efficient. It is a book that ...shows us
how to change the world and does so admirably....One of this book's strengths is that it
...

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...
Stochastic Systems: Uncertainty Quantification and Propagation (Springer Series in Reliability Engineering)
Stochastic Systems: Uncertainty Quantification and Propagation (Springer Series in Reliability Engineering)

Uncertainty is an inherent feature of both properties of physical systems and the inputs to these systems that needs to be quantified for cost effective and reliable designs. The states of these systems satisfy equations with random entries, referred to as stochastic equations, so that they are random functions of time and/or space. The...

Frontiers of Evolutionary Computation
Frontiers of Evolutionary Computation
This book is a collection of essays, authored by eminent scholars in evolutionary computation (EC), artificial intelligence (AI), operations research, complexity theory and mathematics. Each essay revolves around important, interesting and unresolved questions in the field of evolutionary computation....
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
...
High Performance Data Mining - Scaling Algorithms, Applications and Systems
High Performance Data Mining - Scaling Algorithms, Applications and Systems
This special issue of Data Mining and Knowledge Discovery addresses the issue of scaling data mining algorithms, applications and systems to massive data sets by applying high performance computing technology. With the commoditization of high performance computing using clusters of workstations and related technologies, it is becoming more and more...
Deadline Scheduling for Real-Time Systems - EDF and Related Algorithms
Deadline Scheduling for Real-Time Systems - EDF and Related Algorithms
Many real-time systems rely on static scheduling algorithms. This includes cyclic scheduling, rate monotonic scheduling and fixed schedules created by off-line scheduling techniques such as dynamic programming, heuristic search, and simulated annealing. However, for many real-time systems, static scheduling algorithms are quite restrictive and...
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...
   
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