With breathtaking natural beauty, wonderfully hospitable people, charming architecture and cosmopolitan capitals, the three South Causasus nations are still off well-beaten tourist trails and just waiting to be explored. John Noble, Lonely Planet Writer
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You can trust our travel information because Lonely Planet authors visit the places we write about, each and every edition. We never accept freebies for positive coverage so you can rely on us to tell it like it is.
Inside This Book
3 expert authors
4 months of research
100+ "khachapuri" (cheese pies)
Countless breathtaking landscapes
Inspirational photos
Clear, easy-to-use maps
In-depth background
At-a-glance practical info
Comprehensive planning tools
Easy-to-read layout

Sensuous and seductive, Mexico's rich cultural traditions and raw, untamed natural beauty transcend the ages. Trample through jungles and high-plains deserts, explore ancient rites at mysterious Maya and Aztec ruins, or simply stretch out on a honey-kissed beach until mañana comes - find your own 'querido Mexico' with this informed, comprehensive guide.

Number 1 Bestelling Guide to Mexico
“Above all, Mexico is a delight to the senses – spectacular landscapes, warm seas, startlingly colorful art and crafts, music everywhere, and the endlessly varied flavors of its spicy cuisine.” JOHN NOBLE, LONELY PLANET WRITER
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You can trust our travel information because Lonely Planet authors visit the places we write about, each and every edition. We never accept freebies for positive coverage so you can rely on us to tell it like it is.
Inside This Book…
10,000km of coastline
70 pre-Hispanic ruins
100 food & crafts markets
50 fairs & festivals
Inspirational Photos
Clear, easy-to-use maps
Pull-out city map
Guide to ancient Mayan ruins
Comprehensive Planning tools
In-depth background

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.