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» The Optimality of Naive Bayes
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UAI
2004
13 years 9 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
PAMI
2011
13 years 2 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez
ISAAC
2003
Springer
104views Algorithms» more  ISAAC 2003»
14 years 26 days ago
Deterministic Algorithm for the t-Threshold Set Problem
Given k sorted arrays, the t-Threshold problem, which is motivated by indexed search engines, consists of finding the elements which are present in at least t of the arrays. We pr...
Jérémy Barbay, Claire Kenyon
VLDB
1991
ACM
165views Database» more  VLDB 1991»
13 years 11 months ago
Aggregation and Relevance in Deductive Databases
In this paper we present a technique to optimize queries on deductive databases that use aggregate operations such as min, max, and “largest Ic values.” Our approach is based ...
S. Sudarshan, Raghu Ramakrishnan
EDBT
2009
ACM
118views Database» more  EDBT 2009»
14 years 2 months ago
Optimized union of non-disjoint distributed data sets
In a variety of applications, ranging from data integration to distributed query evaluation, there is a need to obtain sets of data items from several sources (peers) and compute ...
Itay Dar, Tova Milo, Elad Verbin