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COMSIS
2006
156views more  COMSIS 2006»
15 years 4 months ago
A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
Kristína Machova, Miroslav Puszta, Frantise...
SIGMOD
1993
ACM
134views Database» more  SIGMOD 1993»
15 years 8 months ago
Mining Association Rules between Sets of Items in Large Databases
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an e cient algorithm that generates all s...
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami
ACL
2009
15 years 2 months ago
Unsupervised Multilingual Grammar Induction
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...
Benjamin Snyder, Tahira Naseem, Regina Barzilay
EUROMICRO
1999
IEEE
15 years 8 months ago
Software Synthesis for System Level Design Using Process Execution Trees
Software synthesis for system level design languages becomes feasible because the current technology, pricing and application trends will most likely alleviate the industrial empha...
Leo J. van Bokhoven, Jeroen Voeten, Marc Geilen
PAMI
2007
166views more  PAMI 2007»
15 years 4 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila