Data complexity in pattern recognition
Mitra Basu
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Data complexity in pattern recognition
by Mitra Basu, Tin Kam Ho
Published
2010
Publisher
Springer
Pages
300
ISBN-13
9781849965576
Description
Machines capable of automatic pattern recognition have many fascinating uses in science and engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability. Tremendous progress has been made in refining such algorithms; yet, automatic learning in many simple tasks in daily life still appears to be far from reach. This book takes a close view of data complexity and its role in shaping the theories and techniques in different disciplines and asks: • What is missing from current classification techniques? • When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task? • How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data? Data Complexity in Pattern Recognition is unique in its comprehensive coverage and multidisciplinary approach from various methodological and practical perspectives. Researchers and practitioners alike will find this book an insightful reference to learn about the current status of available techniques as well as application areas.
Subjects
The Timeless Way of Building
Envisioning Information
Intelligent Robotics and Applications
Artificial Intelligence Applications and Innovations
Ready-Set-Learn
Visual Explanations
Frequently Asked Questions
How many pages are in Data complexity in pattern recognition?
This edition of Data complexity in pattern recognition has approximately 300 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Data complexity in pattern recognition?
For most readers, Data complexity in pattern recognition typically takes between 6h 15m and 4h 10m to complete. This is based on the book's length of approximately 75,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 0m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 75,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Data complexity in pattern recognition?
The estimated word count for Data complexity in pattern recognition is approximately 75,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Data complexity in pattern recognition?
Data complexity in pattern recognition was written by Mitra Basu, Tin Kam Ho.
When was Data complexity in pattern recognition published?
The publication date for this specific edition is 2010. The original work may have been published on a different date.