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» Efficient algorithms for ranking with SVMs
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ICDE
2005
IEEE
133views Database» more  ICDE 2005»
15 years 11 months ago
Efficient Inverted Lists and Query Algorithms for Structured Value Ranking in Update-Intensive Relational Databases
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SVR uses structured data values to score (rank) the results of keyword search que...
Lin Guo, Jayavel Shanmugasundaram, Kevin S. Beyer,...
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
15 years 9 months ago
Robust and efficient algorithms for rank join evaluation
In the rank join problem we are given a relational join R1 1 R2 and a function that assigns numeric scores to the join tuples, and the goal is to return the tuples with the highes...
Jonathan Finger, Neoklis Polyzotis
ISBRA
2011
Springer
14 years 28 days ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao
WADS
1999
Springer
88views Algorithms» more  WADS 1999»
15 years 1 months ago
Tiered Vectors: Efficient Dynamic Arrays for Rank-Based Sequences
Michael T. Goodrich, John G. Kloss II
NECO
2008
108views more  NECO 2008»
14 years 9 months ago
An SMO Algorithm for the Potential Support Vector Machine
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
Tilman Knebel, Sepp Hochreiter, Klaus Obermayer