Artificial Intelligence

Active Learning with SVM (Artificial Intelligence)

INTRODUCTION With the increasing demand of multimedia information retrieval, such as image and video retrieval from the Web, there is a need to find ways to train a classifier when the training dataset is combined with a small number of labelled data and a large number of unlabeled one. Traditional supervised or unsupervised learning methods […]

Adaptive Algorithms for Intelligent Geometric Computing (Artificial Intelligence)

INTRODUCTION This chapter spans topics from such important areas as Artificial Intelligence, Computational Geometry and Biometric Technologies. The primary focus is on the proposed Adaptive Computation Paradigm and its applications to surface modeling and biometric processing. Availability of much more affordable storage and high resolution image capturing devices have contributed significantly over the past few […]

Adaptive Business Intelligence (Artificial Intelligence)

INTRODUCTION Since the computer age dawned on mankind, one of the most important areas in information technology has been that of “decision support.” Today, this area is more important than ever. Working in dynamic and ever-changing environments, modern-day managers are responsible for an assortment of far reaching decisions: Should the company increase or decrease its […]

Adaptive Neural Algorithms for PCA and ICA (Artificial Intelligence)

INTRODUCTION Artificial neural networks (ANNs) (McCulloch & Pitts, 1943) (Haykin, 1999) were developed as models of their biological counterparts aiming to emulate the real neural systems and mimic the structural organization and function of the human brain. Their applications were based on the ability of self-designing to solve a problem by learning the solution from […]

Adaptive Neuro-Fuzzy Systems (Artificial Intelligence)

INTRODUCTION Fuzzy logic became the core of a different approach to computing. Whereas traditional approaches to computing were precise, or hard edged, fuzzy logic allowed for the possibility of a less precise or softer approach (Klir et al., 1995, pp. 212-242). An approach where precision is not paramount is not only closer to the way […]

Adaptive Technology and Its Applications (Artificial Intelligence)

INTRODUCTION Before the advent of software engineering, the lack of memory space in computers and the absence of established programming methodologies led early programmers to use self-modification as a regular coding strategy. Although unavoidable and valuable for that class of software, solutions using self-modification proved inadequate while programs grew in size and complexity, and security […]

Advanced Cellular Neural Networks Image Processing (Artificial Intelligence)

INTRODUCTION Since its introduction to the research community in 1988, the Cellular Neural Network (CNN) (Chua & Yang, 1988) paradigm has become a fruitful soil for engineers and physicists, producing over 1,000 published scientific papers and topics in less than 20 years (Chua & Roska, 2002), mostly related to Digital Image Processing (DIP). This Artificial […]

Agent-Based Intelligent System Modeling (Artificial Intelligence)

INTRODUCTION An intelligent system is a system that has, similar to a living organism, a coherent set of components and subsystems working together to engage in goal-driven activities. In general, an intelligent system is able to sense and respond to the changing environment; gather and store information in its memory; learn from earlier experiences; adapt […]

AI and Ideas by Statistical Mechanics (Artificial Intelligence)

INTRODUCTION A briefing (Allen, 2004) demonstrates the breadth and depth complexity required to address real diplomatic, information, military, economic (DIME) factors for the propagation/evolution of ideas through defined populations. An open mind would conclude that it is possible that multiple approaches may be required for multiple decision makers in multiple scenarios. However, it is in […]

AI Methods for Analyzing Microarray Data (Artificial Intelligence)

INTRODUCTION Biological systems can be viewed as information management systems, with a basic instruction set stored in each cell’s DNA as “genes.” For most genes, their information is enabled when they are transcribed into RNA which is subsequently translated into the proteins that form much of a cell’s machinery. Although details of the process for […]

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