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ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
13 years 5 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
ICML
2007
IEEE
14 years 8 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
EUSFLAT
2009
135views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Exchanging Iterated Expectations of Random Upper Semicontinuous Functions: an application to decision theory
In this paper we present a procedure to deal with a kind of single-stage decision problems with imprecise utilities. In this type of problems the product measurability of the utili...
Miguel López-Díaz, Luis J. Rodr&iacu...
ICDE
2008
IEEE
133views Database» more  ICDE 2008»
14 years 9 months ago
Database Support for Probabilistic Attributes and Tuples
Abstract-- The inherent uncertainty of data present in numerous applications such as sensor databases, text annotations, and information retrieval motivate the need to handle impre...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
ECEH
2006
144views Healthcare» more  ECEH 2006»
13 years 9 months ago
Process Based Data Logistics: Data Integration for Healthcare Applications
Data integration in medical applications is a crucial and sensitive task. It turns out that there are rigid factors like heterogeneous, distributed data sources, security, and comp...
Stefan Jablonski