Books > Computing & IT > Applications of computing > Pattern recognition
|
Buy Now
Combining Pattern Classifiers - Methods and Algorithms 2e (Hardcover, 2nd Edition)
Loot Price: R2,288
Discovery Miles 22 880
You Save: R555
(20%)
|
|
Combining Pattern Classifiers - Methods and Algorithms 2e (Hardcover, 2nd Edition)
Expected to ship within 7 - 13 working days
|
A unified, coherent treatment of current classifier ensemble
methods, from fundamentals of pattern recognition to ensemble
feature selection, now in its second edition The art and science of
combining pattern classifiers has flourished into a prolific
discipline since the first edition of Combining Pattern Classifiers
was published in 2004. Dr. Kuncheva has plucked from the rich
landscape of recent classifier ensemble literature the topics,
methods, and algorithms that will guide the reader toward a deeper
understanding of the fundamentals, design, and applications of
classifier ensemble methods. Thoroughly updated, with MATLAB(R)
code and practice data sets throughout, Combining Pattern
Classifiers includes: * Coverage of Bayes decision theory and
experimental comparison of classifiers * Essential ensemble methods
such as Bagging, Random forest, AdaBoost, Random subspace, Rotation
forest, Random oracle, and Error Correcting Output Code, among
others * Chapters on classifier selection, diversity, and ensemble
feature selection With firm grounding in the fundamentals of
pattern recognition, and featuring more than 140 illustrations,
Combining Pattern Classifiers, Second Edition is a valuable
reference for postgraduate students, researchers, and practitioners
in computing and engineering.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.