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» Supporting Flat Relations by a Nested Relational Kernel
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ML
2002
ACM
146views Machine Learning» more  ML 2002»
14 years 9 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio
BTW
1993
Springer
193views Database» more  BTW 1993»
15 years 1 months ago
Query Optimization in an OODBMS
It is clearly crucial for the success of object-oriented databases to find effiĆ cient implementations that improve on the performance of relational sysĆ tems, rather than being...
Christian Rich, Marc H. Scholl
PR
2010
163views more  PR 2010»
14 years 8 months ago
Optimal feature selection for support vector machines
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
Minh Hoai Nguyen, Fernando De la Torre
ICCS
2004
Springer
15 years 3 months ago
KNAML: A Knowledge Representation Language for Distributed Reasoning
The Knowledge Agent Mediation Language (KNAML) is designed for use in multi-agent reasoning systems. Like conceptual graphs, KNAML represents knowledge using concepts, relations, a...
Gordon Streeter, Andrew Potter
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Investigation into Biomedical Literature Classification Using Support Vector Machines
Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typic...
Nalini Polavarapu, Shamkant B. Navathe, Ramprasad ...