9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015 Dilation, Disintegrations, and Delayed Decisions Arthur Paul Pedersen Gregory Wheeler Center for Adaptive Rationality

Source URL: gregorywheeler.org

8th International Symposium on Imprecise Probability: Theories and Applications, Compi`egne, France, 2013 Temporal Data Classification by Imprecise Dynamical Models Alessandro Antonucci Rocco de Rosa IDSIA (Switzerland)

Source URL: www.sipta.org

Static Analysis of Programs with Imprecise Probabilistic Inputs Assale Adje2 , Olivier Bouissou1 , Jean Goubault-Larrecq2 , Eric Goubault1 , and Sylvie Putot1 1 CEA LIST

Source URL: www.lix.polytechnique.fr

• Probability theory
• Mathematics
• Analysis
• Theoretical computer science
• Sigma-algebra
• Symbol
• Denotational semantics
• Probability distribution
• Abstract interpretation
• Random variable

Full conglomerability, continuity and marginal extension Enrique Miranda1 and Marco Zaffalon2 Abstract We investigate fully conglomerable coherent lower previsions in the sense of Walley, and some particular cases of int

Source URL: ipg.idsia.ch

• Probability theory
• Mathematical analysis
• Statistical theory
• Analysis
• Imprecise probability
• Conditional probability
• Limit of a function
• Ordinal number
• Conditioning
• Connection

9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015 The Multilabel Naive Credal Classifier Alessandro Antonucci and Giorgio Corani IDSIA SUPSI/USI Lugano (Switzerland)

Source URL: www.sipta.org

• Statistics
• Statistical classification
• Statistical theory
• Bayesian inference
• Bayesian statistics
• Credal network
• Naive Bayes classifier
• C0
• Credal set
• Pattern recognition
• Classifier chains
• Bayesian network

CORANI ET AL.: ROBUST TEXTURE RECOGNITION USING IMPRECISE CLASSIFIERS 1 Robust Texture Recognition Using Credal Classifiers

Source URL: bmvc10.dcs.aber.ac.uk

• Statistical classification
• Machine learning
• Bayesian statistics
• Naive Bayes classifier
• Pattern recognition
• Supervised learning
• Credal set
• Imprecise probability
• Classifier
• Bayesian classifier
• Bayesian inference
• Bayes classifier

The IPG Team Our team of motivated, skilled and experienced researchers allows us to offer solutions for a vast range of complex problems.

Source URL: ipg.idsia.ch

• Formal sciences
• Data management
• Security
• Business intelligence
• Statistical models
• Imprecise probability
• Statistics
• Data mining
• Surveillance
• Bioinformatics
• Predictive modelling

9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015 The Multilabel Naive Credal Classifier Alessandro Antonucci and Giorgio Corani IDSIA SUPSI/USI Lugano (Switzerland)

Source URL: ipg.idsia.ch

• Bayesian inference
• Statistical classification
• Credal network
• Machine learning
• Credal set
• C0
• Naive Bayes classifier
• Pattern recognition
• Bayesian network
• Colorado
• Classifier chains

Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being

Source URL: goldberg.berkeley.edu

• Statistics
• Mathematical analysis
• Probability
• Robot control
• Mathematical optimization
• Dynamic programming
• Stochastic control
• Partially observable Markov decision process
• Trajectory optimization
• Kalman filter
• Motion planning
• Normal distribution

8th International Symposium on Imprecise Probability: Theories and Applications, Compi`egne, France, 2013 New Prior Near-ignorance Models on the Simplex Francesca Mangili and Alessio Benavoli IDSIA, Galleria 2, CH-6928

Source URL: people.idsia.ch