Jens D. Nielsen |  Antonio Salmeron... -  《International journal of approximate reasoning》 - 2014,55(1 Pt.1) - 74～83 - 共10页

摘要：In this paper we describe a system designed for assisting geneticists in vegetal genetic improvement tasks. The system is based on the use of Bayesian networks. It has been developed under the industr...

关键词： Bayesian networks |  Inference |  Learning |  Vegetal genetic improvement |  Decision support systems

Jens D. Nielsen |  Jose A. Gamez... -  《International journal of approximate reasoning》 - 2012,53(7) - 929～945 - 共17页

摘要：Probabilistic Decision Graphs (PDGs) are probabilistic graphical models that represent a factorisation of a discrete joint probability distribution using a "decision graph"-like structure over local m...

关键词： probabilistic decision graphs |  conditional gaussian distribution |  hybrid graphical models |  inference

ANTONIO FERNANDEZ |  JENS D. NIELSEN... -  《International journal of uncertainty, fuzziness and knowledge-based systems: IJUFKS》 - 2010,18(1) - 69～ - 共18页

摘要：In this paper we address the problem of inducing Bayesian network models for regression from incomplete databases. We use mixtures of truncated exponentials (MTEs) to represent the joint distribution ...

关键词： bayesian networks |  regression |  mixtures of truncated exponentials |  missing data

Jens D. Nielsen |  Rafael Rumi... -  《International journal of approximate reasoning》 - 2010,51(5) - 515～530 - 共16页

摘要：Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by other popular models, ...

关键词： machine learning |  graphical models |  learning from incomplete data

M. Julia Flores |  Jose A. Gamez... -  《Data Warehousing and Knowledge Discovery》 -  International Conference on Data Warehousing and Knowledge Discovery (DaWak 2009) - 2009, - 378～389 - 共12页

摘要：Within data mining, clustering can be considered the most important unsupervised learning problem which deals with finding a structure in a collection of unlabeled data. Generally, clustering refers t...

关键词： Probabilistic graphical models;;Clustering;;Data mining

NSTL主题词： Cluster Analysis |  Mixture models

Manfred Jaeger |  Jens D. Nielsen... -  《International journal of approximate reasoning》 - 2006,42(1/2) - 84～100 - 共17页

摘要：Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence relations that canno...

关键词： probabilistic models |  learning

Jens D. Nielsen |  Antonio Salmeron -  《Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference》 -  International Florida Artificial Intelligence Research Society Conference - 2010, - 549～554 - 共6页

摘要：Probabilistic decision graphs (PDGs) are probabilistic graphical models that represent a factorisation of a discrete joint probability distribution using a "decision graph" - like structure over local...

Jens D. Nielsen |  Tomas Kocka... -  《Nineteenth Conference (2003) on Uncertainty in Artificial Intelligence ; Aug 7-10, 2003; Acapulco, Mexico》 -  Nineteenth Conference (2003) on Uncertainty in Artificial Intelligence ; Aug 7-10, 2003; Acapulco, Mexico - 2003, - 435～442 - 共8页

摘要：This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that it allows a trade-off ...