Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Conditional Value at Risk as SVR Minimization
Date
2017-10-25
Author
Eryigit, Emre
İyigün, Cem
Çavuş, Özlem
Metadata
Show full item record
Item Usage Stats
62
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/79450
Conference Name
2017 INFORMS Annual Meeting, 22 - 25 Ekim 2017
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection
Can, Gulcan; Firat, Orhan; Yarman Vural, Fatoş Tunay (2012-11-09)
Developing a complex region detection algorithm that is aware of its contextual relations with several classes necessitates statistical frameworks that can encode contextual relations rather than simple rule-based applications or heuristics. In this study, we present a conditional random field (CRF) model that is generated over the results of a robust local discriminative classifier in order to reveal contextual relations of complex objects and land use/land cover (LULC) classes. The proposed CRF model enco...
Conditional Respect in Other’s Culture: Politics of Difference and Mixophobia in European Cultural Politics.
Kuymulu, Mehmet Barış (2005-03-17)
Weighted k-Nearest Neighbor Adaptations to Spare Part Prediction Business Scenario at SAP System
Esgin, Eren (SCITEPRESS; 2020-2-24)
In the context of intelligent maintenance, spare part prediction business scenario seeks promising return-on-investment (ROI) by radically diminishing the hidden costs at after-sales customer services. However, the classification of class-imbalanced data with mixed type features at this business scenario is not straightforward. This paper proposes a hybrid classification model that combines C4.5, Apriori algorithms and weighted k-Nearest Neighbor (kNN) adaptations to overcome potential shortcomings observed...
Posterior Cram'er-Rao Lower Bounds for Extended Target Tracking with Random Matrices
Sarıtaş, Elif; Orguner, Umut (2016-07-08)
This paper presents posterior Cram'er-Rao lower bounds (PCRLB) for extended target tracking (ETT) when the extent states of the targets are represented with random matrices. PCRLB recursions are derived for kinematic and extent states taking complicated expectations involving Wishart and inverse Wishart distributions. For some analytically intractable expectations, Monte Carlo integration is used. The bounds for the semi-major and minor axes of the extent ellipsoid are obtained as well as those for the exte...
Parameter estimators in phase I and performance of individuals chart
Atalay, Murat; Duran, Serhan; Testik, Murat Caner; Department of Industrial Engineering (2016)
In the literature, Phase I analysis is often ignored and in-control process parameters are assumed as known. However process parameters are generally unknown in real control chart applications and these must be estimated from the obtained process data. Since Phase I analysis may have considerable impacts on the process monitoring performance in Phase II, effects of Phase I analysis on the Phase II performance must be investigated in detail. In this thesis, Shewhart type control charts are used to detect out...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Eryigit, C. İyigün, and Ö. Çavuş, “Conditional Value at Risk as SVR Minimization,” presented at the 2017 INFORMS Annual Meeting, 22 - 25 Ekim 2017, 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/79450.