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» A probabilistic language based upon sampling functions
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PLDI
2000
ACM
15 years 4 months ago
Functional reactive programming from first principles
Functional Reactive Programming, or FRP, is a general framework for programming hybrid systems in a high-level, declarative manner. The key ideas in FRP are its notions of behavio...
Zhanyong Wan, Paul Hudak
FORTE
2004
15 years 1 months ago
PEPA Nets in Practice: Modelling a Decentralised Peer-to-Peer Emergency Medical Application
Abstract. We apply the PEPA nets modelling language to modelling a peer-topeer medical informatics application, the FieldCare PDA-based medical records system developed by SINTEF T...
Stephen Gilmore, Valentin Haenel, Jane Hillston, L...
ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 11 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
CEC
2009
IEEE
15 years 4 months ago
A novel EDAs based method for HP model protein folding
— The protein structure prediction (PSP) problem is one of the most important problems in computational biology. This paper proposes a novel Estimation of Distribution Algorithms...
Benhui Chen, Long Li, Jinglu Hu
JMLR
2012
13 years 2 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting