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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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
Integrated Clustering Modeling with Backpropagation Neural Network for Effcient Customer Relationship Management
The rapid progress in digital data acquisition and storage technology has lead to the fast growing tremendous and amount of data stored in databases,... -
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... -
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... -
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... -
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... -
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,...