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148
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ICML
2001
IEEE
16 years 3 months ago
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation
This work is concerned with the estimation of a classifier's accuracy. We first review some existing methods for error estimation, focusing on cross-validation and bootstrap,...
Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram
216
Voted
VLDB
2006
ACM
162views Database» more  VLDB 2006»
16 years 2 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
118
Voted
CVPR
2010
IEEE
15 years 11 months ago
Unified Graph Matching in Euclidean Spaces
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
Julian McAuley, Teofilo de Campos, Tiberio Caetano
115
Voted
AUSAI
2004
Springer
15 years 8 months ago
Longer-Term Memory in Clause Weighting Local Search for SAT
Abstract. This paper presents a comparative study between a state-ofthe-art clause weighting local search method for satisfiability testing and a variant modified to obtain longe...
Valnir Ferreira Jr., John Thornton
VLDB
1990
ACM
116views Database» more  VLDB 1990»
15 years 6 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr