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» Uncertainty Reasoning for Linked Data
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CPAIOR
2010
Springer
13 years 10 months ago
Constraint Reasoning with Uncertain Data Using CDF-Intervals
Interval coefficients have been introduced in OR and CP to specify uncertain data in order to provide reliable solutions to convex models. The output is generally a solution set, ...
Aya Saad, Carmen Gervet, Slim Abdennadher
NIPS
2004
13 years 6 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
ACSAC
2009
IEEE
14 years 5 days ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...
JMLR
2002
138views more  JMLR 2002»
13 years 5 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
AIME
2003
Springer
13 years 10 months ago
Constraint Reasoning in Deep Biomedical Models
Objective: Deep biomedical models are often expressed by means of differential equations. Despite their expressive power, they are difficult to reason about and make decisions, g...
Jorge Cruz, Pedro Barahona