The 10th International Conference on Intelligent Tutoring Systems, ITS 2010, continued
the bi-annual series of top-flight international conferences on the use of advanced
educational technologies that are adaptive to users or groups of users. These highly
interdisciplinary conferences bring together researchers in the learning sciences,...
The 10th International Conference on Intelligent Tutoring Systems, ITS 2010, continued
the bi-annual series of top-flight international conferences on the use of advanced
educational technologies that are adaptive to users or groups of users. These highly
interdisciplinary conferences bring together researchers in the learning sciences,...
For half a century, computer scientists have been working on systems for discovering
lawful patterns in letters, numbers, words and images. The research
has expanded into the computational study of the process of scientific discovery,
producing such well-known AI programs as BACON and DENDRAL. However,
autonomous discovery systems...
Systems Analysis and Design in a Changing World, Fifth Edition, was written and developed with
both instructor and student needs in mind. Here is just a sample of the unique and exciting
features that help bring the field of systems analysis and design to life.
SYSTEMS ANALYSIS AND DESIGN IN A CHANGING WORLD teaches the...
The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain...
FASE (Fundamental Approaches to Software Engineering) is concerned with the foundations on which software engineering is built. Its focus is on novel techniques and the way in which they contribute to making software engineering a more mature and soundly based discipline. This year, we particularly encouraged contributions that combine the...
Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them.The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe...
A variety of problems m machine learning and digital communication deal with complex but structured natural or artificial systems. Natural patterns mat we wish to automatically classify' are a consequence of a hierarchical causal physical process. Learning about the world
m which we live requires mat we extract useful sensor)'...
The phenomenal growth of the Internet has resulted in the availability of
huge amounts of online information, a situation that is overwhelming to
the end-user. To overcome this problem personalization technologies have
been extensively employed across several domains to provide assistance in
filtering, sorting, classifying and sharing...
Image registration is the process of finding correspondence between all points in
two images of a scene. This correspondence is required in stereo depth perception,
3-D scene reconstruction, object detection and recognition, change detection, image
fusion, object tracking and motion analysis. Analysis of two or more images of a...
The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with...
Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning...
