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» Exploiting Data Missingness in Bayesian Network Modeling
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ICCV
2005
IEEE
15 years 4 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
ICML
2007
IEEE
15 years 12 months ago
A recursive method for discriminative mixture learning
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Minyoung Kim, Vladimir Pavlovic
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
15 years 2 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
AAAI
2004
15 years 14 days ago
Identifying Linear Causal Effects
This paper concerns the assessment of linear cause-effect relationships from a combination of observational data and qualitative causal structures. The paper shows how techniques ...
Jin Tian
ICC
2009
IEEE
118views Communications» more  ICC 2009»
15 years 5 months ago
A First Order Logic Security Verification Model for SIP
: It is well known that no security mechanism can provide full protection against a potential attack. There is always a possibility that a security incident may happen, mainly as a...
Dimitris Geneiatakis, Costas Lambrinoudakis, Georg...