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Section: New Results
Highlights of the Year
Creation of the Associate Team Inria: CDSS (2014-2016) with the University of Sao Paulo, Brasil.
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Highlights of the Year
- Approximate Kalman–Bucy filter for continuous-time semi-Markov jump linear systems
- Modeling and optimization of a launcher integration process
- Numerical approximation for optimal stopping of MDP under partial observation
- Classification of EEG signals by evolutionary algorithm
- Probabilistic low-rank matrix completion with adaptive spectral regularization algorithms
- Variable selection to construct indicators of quality of life for data structured in groups
- Efficiency of simulation in monotone hyper-stable queueing networks
- Control of parallel non-observable queues: asymptotic equivalence and optimality of periodic policies
- The economics of the cloud: price competition and congestion
- Generalized Nash Equilibria for Platform-as-a-Service Clouds
- Stochastic approximations of constrained discounted Markov decision processes
- Non-Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise-Deterministic Markov Processes
- Approximation of average cost Markov decision processes using empirical distributions and concentration inequalities
- Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system
- Optimal Trajectories for Underwater Vehicles by Quantization and Stochastic control
- Multi-Objective Design and Maintenance Optimization of the Heated Hold-Up Tank Modeled by Piecewise Deterministic Markov Processes
- Conditional quantile estimation through optimal quantization
- Conditional quantile estimator based on optimal quantization: from theory to practice
- QuantifQuantile : an R package for performing quantile regression trough optimal quantization
- Transcriptome profile analysis reveals specific signatures of pollutants in Atlantic eels
- Comparaison of kernel density estimators with assumption on number of modes : application on environmental monitoring data
- A new sliced inverse regression method for multivariate response
- An introduction to dimension reduction in nonparametric kernel regression
- Hidden Markov Model for the detection of a degraded operating mode of optronic equipment
- On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
- Evolving Genetic Programming Classifiers with Novelty Search
- Detecting mental states of alertness with genetic algorithm variable selection
- A comparison of fitness-case sampling methods for Symbolic Regression
- Geometric Semantic Genetic Programming with Local Search
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Highlights of the Year
- Approximate Kalman–Bucy filter for continuous-time semi-Markov jump linear systems
- Modeling and optimization of a launcher integration process
- Numerical approximation for optimal stopping of MDP under partial observation
- Classification of EEG signals by evolutionary algorithm
- Probabilistic low-rank matrix completion with adaptive spectral regularization algorithms
- Variable selection to construct indicators of quality of life for data structured in groups
- Efficiency of simulation in monotone hyper-stable queueing networks
- Control of parallel non-observable queues: asymptotic equivalence and optimality of periodic policies
- The economics of the cloud: price competition and congestion
- Generalized Nash Equilibria for Platform-as-a-Service Clouds
- Stochastic approximations of constrained discounted Markov decision processes
- Non-Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise-Deterministic Markov Processes
- Approximation of average cost Markov decision processes using empirical distributions and concentration inequalities
- Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system
- Optimal Trajectories for Underwater Vehicles by Quantization and Stochastic control
- Multi-Objective Design and Maintenance Optimization of the Heated Hold-Up Tank Modeled by Piecewise Deterministic Markov Processes
- Conditional quantile estimation through optimal quantization
- Conditional quantile estimator based on optimal quantization: from theory to practice
- QuantifQuantile : an R package for performing quantile regression trough optimal quantization
- Transcriptome profile analysis reveals specific signatures of pollutants in Atlantic eels
- Comparaison of kernel density estimators with assumption on number of modes : application on environmental monitoring data
- A new sliced inverse regression method for multivariate response
- An introduction to dimension reduction in nonparametric kernel regression
- Hidden Markov Model for the detection of a degraded operating mode of optronic equipment
- On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
- Evolving Genetic Programming Classifiers with Novelty Search
- Detecting mental states of alertness with genetic algorithm variable selection
- A comparison of fitness-case sampling methods for Symbolic Regression
- Geometric Semantic Genetic Programming with Local Search
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography