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FLAIRS
1998
13 years 9 months ago
Decision Making in Qualitative Influence Diagrams
The increasing number of knowledge-based systems that build on a Bayesian belief network or influence diagram acknowledge the usefulness of these frameworks for addressing complex...
Silja Renooij, Linda C. van der Gaag
CSDA
2004
129views more  CSDA 2004»
13 years 7 months ago
Gaussian process for nonstationary time series prediction
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
Sofiane Brahim-Belhouari, Amine Bermak
ECML
2005
Springer
14 years 1 months ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...
JMLR
2010
129views more  JMLR 2010»
13 years 6 months ago
On Finding Predictors for Arbitrary Families of Processes
The problem is sequence prediction in the following setting. A sequence x1, . . . , xn, . . . of discrete-valued observations is generated according to some unknown probabilistic ...
Daniil Ryabko
ACMSE
2006
ACM
13 years 9 months ago
Hybrid intelligent systems for network security
Society has grown to rely on Internet services, and the number of Internet users increases every day. As more and more users become connected to the network, the window of opportu...
J. Lane Thames, Randal Abler, Ashraf Saad