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ICONIP
2009
15 years 4 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
NIPS
2001
15 years 8 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
IJCAI
1993
15 years 8 months ago
A Computational Model of Tractable Reasoning - Taking Inspiration from Cognition
Polynomial time complexity is the usual ‘threshold’ for distinguishing the tractable from the intractable and it may seem reasonable to adopt this notion of tractability in th...
Lokendra Shastri
CP
2009
Springer
16 years 7 months ago
From Model-Checking to Temporal Logic Constraint Solving
Abstract. In this paper, we show how model-checking can be generalized to temporal logic constraint solving, by considering temporal logic formulae with free variables over some do...
Aurélien Rizk, François Fages
SOFSEM
2009
Springer
16 years 3 months ago
A Formal Model of Business Application Integration from Web Services (Position Paper)
Abstract. Currently there are many service providers on the Web. Industry recognizes that from Web services many different business applications can be quickly created. A Web servi...
Kaiyu Wan, Mubarak Mohammad, Vasu S. Alagar