Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-2 of 2
Keywords: Bayesian statistical decision theory
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Operations strategy and flexibility: modeling with Bayesian classifiers
Available to Purchase
Journal:
Industrial Management & Data Systems
Industrial Management & Data Systems (2006) 106 (4): 460–484.
Published: 01 April 2006
... inductive bias (Blum and Langley, 1997 ; John et al., 1994). However, wrapper approaches have a higher computational cost. Service operations Bayesian statistical decision theory Knowledge management The use of information analysis tools for supporting business decisions is becoming...
Journal Articles
Internet security: malicious e‐mails detection and protection
Available to Purchase
Journal:
Industrial Management & Data Systems
Industrial Management & Data Systems (2004) 104 (7): 613–623.
Published: 01 September 2004
... Internet Security products Bayesian statistical decision theory Electronic mail Given a set of variables and their observation values in the training data, nodes in a probabilistic network are constructed by creating one node for each variable. Undirected links between variable nodes...
