Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Theory of Optimal Search
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...
Soft Computing in Ontologies and Semantic Web (Studies in Fuzziness and Soft Computing)
Soft Computing in Ontologies and Semantic Web (Studies in Fuzziness and Soft Computing)
Being the important means by which people acquire and publish information nowadays, theWeb has been a huge information resource depository all around the world and the huge amount of information on the Web is getting larger and larger every day. It is becoming very crucial for computer programs to deal with information on the Web automatically and...
Toward Scientific Medicine
Toward Scientific Medicine

Scientific medicine in Miettinen’s conception of it is very different from the two ideas about it that come to eminence in the 20th century.  To him, medicine is scientific to the extent that it has a rational theoretical framework and a knowledge-base from medical science.  He delineates the nature of that...

Schaum's Outline of Probability and Statistics, 3/E (Schaum's Outline Series)
Schaum's Outline of Probability and Statistics, 3/E (Schaum's Outline Series)

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential...

Statistically Speaking: A Dictionary of Quotations
Statistically Speaking: A Dictionary of Quotations

Statistically Speaking is a book of quotations. It has, for the first time, brought together in one easily accessible form the best expressed thoughts that are especially illuminating and pertinent to the disciplines of probability and statistics. Some of the quotations are profound, others are wise, some are witty, but none are frivolous....

Python Data Analysis Cookbook
Python Data Analysis Cookbook

Key Features

  • Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
  • Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
  • Authored by Ivan Idris, expert in python programming and proud...
Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)
Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)

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)'...

Probability and Statistics for Engineers and Scientists
Probability and Statistics for Engineers and Scientists

PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily--and understands their vocabulary. The result of this familiarity with the professional...

Using R for Statistics
Using R for Statistics

Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use...

Mastering Probabilistic Graphical Models using Python
Mastering Probabilistic Graphical Models using Python

Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python

About This Book

  • Gain in-depth knowledge of Probabilistic Graphical Models
  • Model time-series problems using Dynamic Bayesian Networks
  • A practical guide to...
Introduction to Probability and Statistics Using R
Introduction to Probability and Statistics Using R
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three... More > semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors....
CONCUR 2008 - Concurrency Theory: 19th International Conference, CONCUR 2008, Toronto, Canada, August 19-22, 2008, Proceedings
CONCUR 2008 - Concurrency Theory: 19th International Conference, CONCUR 2008, Toronto, Canada, August 19-22, 2008, Proceedings
This book constitutes the refereed proceedings of the 19th International Conference on Concurrency Theory, CONCUR 2008, held in Toronto, Canada, August 19-22, 2008.

The 33 revised full papers presented together with 2 tool papers were carefully reviewed and selected from 120 submissions. The topics include model checking, process calculi,...

Result Page: 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy