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115
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ICWE
2007
Springer
15 years 8 months ago
Fixing Weakly Annotated Web Data Using Relational Models
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Fatih Gelgi, Srinivas Vadrevu, Hasan Davulcu
95
Voted
EDBT
2008
ACM
131views Database» more  EDBT 2008»
16 years 2 months ago
A Bayesian approach for on-line max and min auditing
In this paper we consider the on-line max and min query auditing problem: given a private association between fields in a data set, a sequence of max and min queries that have alr...
Gerardo Canfora, Bice Cavallo
142
Voted
DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 4 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
154
Voted
JMLR
2010
185views more  JMLR 2010»
14 years 9 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
102
Voted
BMCBI
2006
118views more  BMCBI 2006»
15 years 2 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...