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An Algorithm to Calculate the Expected Value of an Ongoing User Session
The fiercely competitive web-based electronic commerce environment has made necessary the application of intelligent methods to gather and analyze...
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Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot
In the last years, one of the main challenges in robotics is to endow the robots with a grade of intelligence in order to allow them to extract...
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Decision Support versus Knowledge Creation Support
After introductory remarks on interactive computerized decision support and the concept of supporting creativity, this chapter briefly describes the...
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Basic Dimensions of Creative Space
This chapter, after introductory remarks, starts with a review of the diverse meanings of the concepts knowledge and technology, since Creative Space...
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Fast Color Texture-Based Object Detection in Images: Application to License Plate Localization
The current chapter presents a color texture-based method for object detection in images. A support vector machine (SVM) is used to classify each...
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Gas Sensing Using Support Vector Machines
In this chapter we deal with the use of Support Vector Machines in gas sensing. After a brief introduction to the inner workings of multisensor...
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Support Vector Machines – An Introduction
This is a book about learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying support...
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Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods
In this chapter, we discuss two possible ways of improving the performance of the SVM, using geometric methods. The first adapts the kernel by...
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Uniform Coverage of Simple Surfaces Embedded in $\mathbb{R}^3$ for Auto-Body Painting
We develop a procedure for automated trajectory generation for robotic spray painting applications. Painting requires that the spray gun deposit...
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Sampling-Based Motion Planning under Kinematic Loop-Closure Constraints
Kinematic loop-closure constraints significantly increase the difficulty of motion planning for articulated mechanisms. Configurations of...
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Voronoi-Based Outdoor Traversable Region Modelling
Nowadays, the interest in mobile robotics working in outdoor environments is increasing due to the new applications focussed on aiding humans. To...
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From Classical Connectionist Models to Probabilistic/Generalised Regression Neural Networks (PNNs/GRNNs)
This chapter begins by briefly summarising some of the well-known classical connectionist/artificial neural network models such as multi-layered...
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Language and Thinking Modules
In this chapter, we focus upon the two modules which are closely tied to the concept of “action planning”, i.e. the 1) language and 2) thinking...
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Sensation and Perception Modules
In any kind of creature, both the mechanisms of sensation and perception are indispensable for continuous living, e.g. to find edible plants/fruits...
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Use of Fuzzy Feature Descriptions to Recognize Handwritten Alphanumeric Characters
The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten...
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A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grou** for Acute Healthcare in Australia
Estimating resource consumption of hospital patients is important for various tasks such as hospital funding, and management and allocation of...
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B Experimental Setups and Acoustic Environments
In this chapter, the experimental setup and the acoustic environments are described, which are used in this work for illustrating the properties of...
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Reinforcement Learning: A Brief Overview
Learning techniques can be usefully grouped by the type of feedback that is available to the learner. A commonly drawn distinction is that between...
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9. Switched Scalable Video Coding Systems
Scalable video coding means that a video sequence is only encoded once and the coded bitstream has the capability of sending any sub-bitstream...
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An Analysis of Continuous-Valued Representations for Learning Classifier Systems
Learning Classifier Systems [11] typically use a ternary representation to encode the environmental condition that a classifier matches. However,...