This volume is the last of three volumes devoted to the work of one of the most prominent 20th century mathematicians. Throughout his mathematical work, A.N. Kolmogorov (1903-1987) showed great creativity and versatility and his wide-ranging studies in many different areas, led to the solution of conceptual and fundamental problems and the...
A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance
The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and...
Statistical learning — that is, learning from data — and, in particular, probabilistic
model learning have become increasingly important in recent years.
Advances in information technology have facilitated an explosion of available
data. This explosion has been accompanied by theoretical advances, permitting
new and...
While SAS and SPSS have many things in common, R is very different. My
goal in writing this book is to help you translate what you know about SAS or
SPSS into a working knowledge of R as quickly and easily as possible. I point
out how they differ using terminology with which you are familiar, and show
you which add-on packages will...
Programmers may spend a good part of their careers scripting code to conform to commercial
statistics packages, visualization tools, and domain-specific third-party software.
The same tasks can force end users to spend countless hours in copy-paste purgatory,
each minor change necessitating another grueling round of formatting tabs and...
PAKDD has been recognized as a major international conference in the areas of
data mining (DM) and knowledge discovery in databases (KDD). It provides an
international forum for researchers and industry practitioners to share their new
ideas, original research results and practical development experiences from all
KDD-related areas...
Over the last few decades, energy minimization methods have become an established
paradigm to resolve a variety of challenges in the fields of computer vision
and pattern recognition. While traditional approaches to computer vision were
often based on a heuristic sequence of processing steps and merely allowed a
very limited...
The area of Neural computing that we shall discuss in this book represents a combination of techniques of classical optimization, statistics, and information theory. Neural network was once widely called artificial neural networks, which represented how the emerging technology was related to artificial intelligence. It once was a topic that...
Five years ago, we authored “Text Mining: Predictive Methods for Analyzing Unstructured Information.” That book was geared mostly to professional practitioners, but was adaptable to course work with some effort by the instructor. Many topics were evolving, and this was one of the earliest efforts to collect material for predictive...
We have been very pleased, beyond our expectations, with the reception of
the first edition of this book. Bioinformatics, however, continues to evolve
very rapidly, hence the need for a new edition. In the past three years, fullgenome
sequencing has blossomed with the completion of the sequence of
the fly and the first draft of the...
The last decade has witnessed a revolution in interdisciplinary research where the boundaries of different areas have overlapped or even disappeared. New fields of research emerge each day where two or more fields have integrated to form a new identity. Examples of these emerging areas include bioinformatics (synthesizing biology with...
