Learn IT - Books tags artificial

Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)

John Wiley & Sons, 2008

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis.

This book provides a general introduction to Bayesian networks,...

Conceptual Structures: Knowledge Architectures for Smart Applications: 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield

Springer, 2007

Conceptual Graphs (CG, www.conceptualgraphs.org) provide a powerful knowledge representation and inference environment, whilst exhibiting the familiar objectoriented and database features of contemporary enterprise and web applications. CG capture nuances in natural language whilst being able to be implemented in computer...

Qualitative Spatial Abstraction in Reinforcement Learning (Cognitive Technologies)

Springer, 2010

Teaching and learning are difficult tasks not only when people are involved but also with regard to computer programs and machines: When the teaching/learning units are too small, we cannot express sufficient context to teach a differentiated lesson; when they are too large, the complexity of the learning task can increase...

SPSS for Starters, Part 2 (SpringerBriefs in Statistics)

Springer, 2012

The small book ‘‘SPSS for Starters’’ issued in 2010 presented 20 chapters of cookbook like step by step data-analyses of clinical research, and was written to help clinical investigators and medical students analyze their data without the help of a statistician. The book served its purpose well enough, since...

Getting Started with RFID: Identify Objects in the Physical World with Arduino

O'Reilly, 2012

The process of identifying physical objects is such a fundamental part of our experience that we seldom think about how we do it. We use our senses, of course: we look at, feel, pick up, shake and listen to, smell, and taste objects until we have a reference for them—then we give them a label. The whole...

Exploring Everyday Things with R and Ruby: Learning About Everyday Things

O'Reilly, 2012

If you’re curious about how things work, this fun and intriguing guide will help you find real answers to everyday problems. By using fundamental math and doing simple programming with the Ruby and R languages, you’ll learn how to model a problem and work toward a solution.

All you need is a basic...

Logic of Analog and Digital Machines

Nova Press, 2010

Computer Science is a very young discipline compared to most others. Alan Turing published the seminal paper of the field in 1936. Around the same time, the militaries in Germany, UK, and US commissioned the first digital electronic computer projects. One of these, the Colossus at Bletchley Park in the UK, was used to break the...

Human - Computer Systems Interaction: Backgrounds and Applications 2: Part 1

Springer, 2011

A new procedure for combined validation of learning models – built for specifically uncertain data – is briefly described. The procedure, called the queue validation, relies on a combination of resubstitution with the modified learn-andtest paradigm. In the initial experiment [Burda and Hippe 2010] the developed...

Ambient Intelligence - Software and Applications: 3rd International Symposium on Ambient Intelligence

Springer, 2012

Ambient Intelligence (AmI) is a recent paradigm emerging from Artificial Intelligence (AI), where computers are used as proactive tools assisting people with their day-to-day activities, making everyone’s life more comfortable. Another main concern of AmI originates from the human computer interaction domain and focuses on offering ways...

Agent-based Ubiquitous Computing (Atlantis Ambient and Pervasive Intelligence)

Atlantic Monthly Press, 2009

Ubiquitous computing names the third wave in computing, where the personal computing era appears when technology recedes into the background of our lives. The widespread use of new mobile technology implementing wireless communications such as personal digital assistants (PDAs) and smart phones enables a new type of advanced...

Membrane Technology and Applications

John Wiley & Sons, 2004

My introduction to membranes was as a graduate student in 1963. At that time membrane permeation was a sub-study of materials science. What is now called membrane technology did not exist, nor did any large industrial applications of membranes. Since then, sales of membranes and membrane equipment have increased more than...

Neural Networks (Grassroots)

Palgrave Macmillan, 2000

Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples, so that...

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