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» Efficient algorithms for ranking with SVMs
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PODS
2008
ACM
123views Database» more  PODS 2008»
16 years 6 months ago
Evaluating rank joins with optimal cost
In the rank join problem, we are given a set of relations and a scoring function, and the goal is to return the join results with the top K scores. It is often the case in practic...
Karl Schnaitter, Neoklis Polyzotis
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 6 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
SIGMOD
2005
ACM
164views Database» more  SIGMOD 2005»
16 years 6 months ago
RankSQL: Query Algebra and Optimization for Relational Top-k Queries
This paper introduces RankSQL, a system that provides a systematic and principled framework to support efficient evaluations of ranking (top-k) queries in relational database syst...
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas...
PAMI
2006
147views more  PAMI 2006»
15 years 6 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
PVLDB
2008
116views more  PVLDB 2008»
15 years 5 months ago
Accuracy estimate and optimization techniques for SimRank computation
The measure of similarity between objects is a very useful tool in many areas of computer science, including information retrieval. SimRank is a simple and intuitive measure of th...
Dmitry Lizorkin, Pavel Velikhov, Maxim N. Grinev, ...