Neural Information Processing Systems - NIPS05 Workshops

Implementing SVM in an RDBMS: Improved Scalability and Usability

author: Joseph S. Yarmus, ORACLE

Categories

Top: Computer Science: Machine Learning: Kernel Methods: Support Vector Machines

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*Slides*
0:00	Implementing SVM in an RDBMS: Improved Scalability and Usability
0:13	Overview
0:36	Data Mining in RDBMS
1:27	Database Infrastructure
2:19	SVM in the Database
3:00	SVM and the ODM Infrastructure
3:37	SVM Data Preparation Support
3:59	SVM Scalability Issues
4:19	Implemented Scalability
4:41	Additional Implemented
4:54	Working Set Selection
5:27	Who to Retain?
5:56	Who to Add?
6:35	Stratified Sampling
7:07	Small Model Generation
7:36	Build Scalability Results
8:04	Scoring Scalability Results
11:14	SVM Scoring as a SQL Operator
12:17	Ease of Use Issues
13:05	On-the-Fly SVM Parameter
13:31	Classification Accuracy
14:11	Regression Accuracy
14:31	Classification Capacity Estimate
15:12	Classification Capacity Estimate1
15:21	Classification Capacity Estimate2
15:27	Classification Capacity Estimate3
15:45	Classification Standard Deviation
16:17	Regression Epsilon Estimate
16:50	Regression Epsilon Estimate1
16:59	Regression Epsilon Estimate2
17:02	Regression Epsilon Estimate3
17:08	Regression Epsilon Estimate4
17:20	Conclusions
17:46	Final Note
18:24	Q U E S T I O N S

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