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» Data Mining via Support Vector Machines
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CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 2 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
EDBT
2008
ACM
178views Database» more  EDBT 2008»
15 years 10 months ago
An inductive database and query language in the relational model
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
Lothar Richter, Jörg Wicker, Kristina Kessler...
DAWAK
2007
Springer
15 years 4 months ago
OLAP Technology for Business Process Intelligence: Challenges and Solutions
The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies...
Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 4 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
PPOPP
2010
ACM
15 years 7 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...