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DADO -- Low-Cost Query Strategies for Deep Active Design Optimization
We present two selection strategies for self-optimization to reduce the computational cost in multi-objective design optimization problems.
Towards Organic Distribution Systems -- The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management
On the grid level, distribution management systems (DMS) try to keep the power system in the normal operational state.
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions
Hidden Markov Models (HMM) have been used for several years in many time series analysis or pattern recognitions tasks.
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers
These measures not only support a data miner in evaluating results of a data mining process based on such classifiers.
Detecting Novel Processes with CANDIES -- An Holistic Novelty Detection Technique based on Probabilistic Models
As a consequence, new kinds of samples are observed that require an adaptation of the model.
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