Pages that link to "Item:Q5030377"
From MaRDI portal
The following pages link to Probabilistic machine learning. An introduction (Q5030377):
Displaying 27 items.
- Emulation of cardiac mechanics using graph neural networks (Q2096869) (← links)
- Python for Probability, Statistics, and Machine Learning (Q2810201) (← links)
- Machine learning. A probabilistic perspective (Q2855953) (← links)
- Python for Probability, Statistics, and Machine Learning (Q5082232) (← links)
- Python for Probability, Statistics, and Machine Learning (Q5082233) (← links)
- Bayesian Reasoning and Machine Learning (Q5391644) (← links)
- Uncertainty of feed forward neural networks recognizing quantum contextuality (Q6063374) (← links)
- Towards global parameter estimation exploiting reduced data sets (Q6065211) (← links)
- Sparse Bayesian learning for complex‐valued rational approximations (Q6071370) (← links)
- Book Reviews (Q6071846) (← links)
- Quality measures for the evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems (Q6153910) (← links)
- Parametric level-set inverse problems with stochastic background estimation (Q6159108) (← links)
- Physics-informed graph neural network emulation of soft-tissue mechanics (Q6194151) (← links)
- An explained artificial intelligence-based solution to identify depression severity symptoms using acoustic features (Q6204286) (← links)
- Symbolic semantics for probabilistic programs (Q6546469) (← links)
- Magnetic characterization of steel strips using transient field measurements: global sensitivity analysis and regression from a machine-learning perspective (Q6557632) (← links)
- Machine learning for structural design models of continuous beam systems via influence zones (Q6557667) (← links)
- Unsupervised learning for medical data: a review of probabilistic factorization methods (Q6560557) (← links)
- Explainability through uncertainty: trustworthy decision-making with neural networks (Q6572867) (← links)
- A branch-and-bound algorithm with growing datasets for large-scale parameter estimation (Q6586253) (← links)
- Hyperparameter estimation for sparse Bayesian learning models (Q6587624) (← links)
- Probabilistic control and majorisation of optimal control (Q6590401) (← links)
- Neural operator induced Gaussian process framework for probabilistic solution of parametric partial differential equations (Q6609778) (← links)
- Applications of fractal-type kernels in Gaussian process regression and support vector machine regression (Q6636476) (← links)
- A Bayesian treatment of the German tank problem (Q6638656) (← links)
- Risk factor aggregation and stress testing (Q6657704) (← links)
- Generic framework for a coherent integration of experience and exposure rating in reinsurance (Q6668686) (← links)
