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 Diagrammatic Reasoning in AI
This book is really the end product of over a decade of work, on and off, on
diagrammatic reasoning in artificial intelligence (AI). In developing this book, I
drew inspiration from a variety of sources: two experimental studies, the development
of two prototype systems, an extensive literature review and analysis in
AI,... |  |  Think Stats
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
You'll work with a case study throughout the... |  |  Statistical Bioinformatics: with R
Bioinformatics is an emerging field in which statistical and computational techniques
are used extensively to analyze and interpret biological data obtained
from high-throughput genomic technologies. Genomic technologies allow us
to monitor thousands of biological processes going on inside living organisms
in one snapshot, and are... |
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 |  |  |  |  Theory of Optimal Search
This book deals with the problem of optimal allocation of effort to detect a
target. A Bayesian approach is taken in which it is assumed that there is a
prior distribution for the target's location which is known to the searcher as
well as a function which relates the conditional probability of detecting... |
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