Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation.
The first EBL systems of the modern era were Mitchell's LEX2, Silver's LP, and De Jong's KIDNAP natural language system. Two of these systems, Mitchell's and De Jong's, have led to extensive follow-up research in EBL. This...

Moore's law Noy77], which predicted that the number of devices in- tegrated on a chip would be doubled every two years, was accurate for a number of years. Only recently has the level of integration be- gun to slow down somewhat due to the physical limits of integration technology. Advances in silicon technology have allowed Ie design- ers to integrate more than a few million transistors on a chip; even a whole system of moderate complexity can now be implemented on a single chip. To keep pace with the increasing complexity in very large scale integrated (VLSI) circuits, the productivity of...

Information theory is an exceptional field in many ways. Technically, it is one of the rare fields in which mathematical results and insights have led directly to significant engineering payoffs. Professionally, it is a field that has sustained a remarkable degree of community, collegiality and high standards. James L. Massey, whose work in the field is honored here, embodies the highest standards of the profession in his own career.
The book covers the latest work on: block coding, convolutional coding, cryptography, and information theory. The 44 contributions represent a...

Image segmentation is generally the first task in any automated image understanding application, such as autonomous vehicle navigation, object recognition, photointerpretation, etc. All subsequent tasks, such as feature extraction, object detection, and object recognition, rely heavily on the quality of segmentation. One of the fundamental weaknesses of current image segmentation algorithms is their inability to adapt the segmentation process as real-world changes are reflected in the image. Only after numerous modifications to an algorithm's control parameters can any current image...

One of the main applications of VHDL is the synthesis of electronic circuits. Circuit Synthesis with VHDL is an introduction to the use of VHDL logic (RTL) synthesis tools in circuit design. The modeling styles proposed are independent of specific market tools and focus on constructs widely recognized as synthesizable by synthesis tools.
A statement of the prerequisites for synthesis is followed by a short introduction to the VHDL concepts used in synthesis. Circuit Synthesis with VHDL presents two possible approaches to synthesis: the first starts with VHDL...

A growing concern of mine has been the unrealistic expectations for new computer-related technologies introduced into all kinds of organizations. Unrealistic expectations lead to disappointment, and a schizophrenic approach to the introduction of new technologies. The UNIX and real-time UNIX operating system technologies are major examples of emerging technologies with great potential benefits but unrealistic expectations. Users want to use UNIX as a common operating system throughout large segments of their organizations. A common operating system would decrease software costs by helping to...

Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capabilities, artificial neural networks can be used to solve many engineering and scientific problems. Due to the optimized data communication structure for artificial intelligence applications, a neurocomputer is considered as the most promising sixth-generation computing machine. Typical applica tions of artificial neural networks include...

There was a long felt need for this book in industrial and academic institutions. It provides new engineers, as well as practicing engineers and advanced laboratory personnel in the field of semiconductors a clear and thorough discussion of state-of-the-art silicon devices, without resorting to the complexity of higher mathematics and physics. This difficult task was made possible by detailing the explanation of equations that describe the device operation and characteristics without endeavoring their full derivation. This is reinforced by several problems which reflect practical cases...