ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
136
views
0
references
Top references
cited by
500
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
2,597
similar
All similar
Record
: found
Abstract
: not found
Book
: not found
Pattern Recognition and Neural Networks
monograph
Author(s):
Brian D. Ripley
Publication date
(Online):
2009
Publisher:
Cambridge University Press
Read this book at
Publisher
Further versions
oa repository (via OAI-PMH title and first author match)
Powered by
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
SDG: 12: Responsible Consumption and Production
Author and book information
Book
ISBN:
9780511812651
Publication date (Print):
1996
Publication date (Online):
2009
DOI:
10.1017/CBO9780511812651
SO-VID:
13dadfa1-f8bf-403a-8663-c17c8a000a89
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. ix
Preface
pp. 1
Introduction and Examples
pp. 17
Statistical Decision Theory
pp. 91
Linear Discriminant Analysis
pp. 121
Flexible Discriminants
pp. 143
Feed-forward Neural Networks
pp. 181
Non-parametric Methods
pp. 213
Tree-structured Classifiers
pp. 243
Belief Networks
pp. 287
Unsupervised Methods
pp. 327
Finding Good Pattern Features
pp. 333
A Statistical Sidelines
pp. 347
Glossary
pp. 355
References
Similar content
2,597
Holliday junction recognition protein (HJURP) could reflect the clinical outcomes of lung adenocarcinoma patients, and impact the choice of precision therapy
Authors:
Xixi Gao
,
Yingqing Zhang
,
Ming Zhang
…
Dual-recognition driven sensing platform based on a BSA-Cu NP nanozyme combined with smartphone-assistance for fluorometric/colorimetric monitoring of dopamine†
Authors:
Da-Qian Feng
,
Shaofei Wang
,
Zhendi Yu
…
What to consider when implementing a tool for timely recognition of palliative care needs in heart failure: a context-based qualitative study
Authors:
Stephanie Ament
,
Lisette van den Broek
,
Marieke van den Beuken-van Everdingen
…
See all similar
Cited by
474
Greedy function approximation: A gradient boosting machine.
Authors:
Jerome Friedman
Gene selection and classification of microarray data using random forest
Authors:
Javier Díaz-Uriarte
,
Sara Alvarez de Andrés
Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex
Authors:
Nikola T Markov
,
Julien Vezoli
,
Pascal Chameau
…
See all cited by