The following pages link to (Q4457477):
Displaying 50 items.
- Universality classes for the Fisher metric derived from relative group entropy (Q2140407) (← links)
- Parameter inference in a probabilistic model from data: regulation of transition rate in the Monte Carlo method (Q2148699) (← links)
- Statistical physics and representations in real and artificial neural networks (Q2149414) (← links)
- Discussion to: \textit{Bayesian graphical models for modern biological applications} by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo (Q2152188) (← links)
- Parameter inference in a probabilistic model using clustered data (Q2155048) (← links)
- Probabilistic programming with stochastic variational message passing (Q2169202) (← links)
- Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models (Q2179219) (← links)
- Towards understanding sparse filtering: a theoretical perspective (Q2179299) (← links)
- Spiking time-dependent plasticity leads to efficient coding of predictions (Q2180814) (← links)
- Uncertainty propagation in reduced order models based on crystal plasticity (Q2184329) (← links)
- Understanding autoencoders with information theoretic concepts (Q2185600) (← links)
- Entropy and compression: a simple proof of an inequality of Khinchin-Ornstein-Shields (Q2190980) (← links)
- \textit{Kernel cuts}: kernel and spectral clustering meet regularization (Q2193808) (← links)
- Constraints for generating graphs with imposed and forbidden patterns: an application to molecular graphs (Q2195978) (← links)
- Step-by-step community detection in volume-regular graphs (Q2210514) (← links)
- Combined state and parameter estimation in level-set methods (Q2222638) (← links)
- Data-driven, variational model reduction of high-dimensional reaction networks (Q2222683) (← links)
- Compressibility of random walker trajectories on growing networks (Q2231212) (← links)
- A class of categorization methods for credit scoring models (Q2239972) (← links)
- Constrained iterative ensemble smoother for multi solution search assisted history matching (Q2240946) (← links)
- Solving a class of feature selection problems via fractional 0--1 programming (Q2241181) (← links)
- Appearance of thermal time (Q2241404) (← links)
- Matrix products with constraints on the sliding block relative frequencies of different factors (Q2250770) (← links)
- Sample size determination for logistic regression (Q2252748) (← links)
- A combination selection algorithm on forecasting (Q2256180) (← links)
- Infotropism as the underlying principle of perceptual organization (Q2263970) (← links)
- A meaning based information theory - informalogical space: basic concepts and convergence of information sequences (Q2269790) (← links)
- Combining feature spaces for classification (Q2270739) (← links)
- Fully probabilistic design of hierarchical Bayesian models (Q2282070) (← links)
- Decidability of irreducible tree shifts of finite type (Q2283159) (← links)
- An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations (Q2283288) (← links)
- On Markov blankets and hierarchical self-organisation (Q2288490) (← links)
- Consensus in asynchronous multiagent systems. I: Asynchronous consensus models (Q2290394) (← links)
- Consensus in asynchronous multiagent systems. III: Constructive stability and stabilizability (Q2290411) (← links)
- Maximum relevance minimum common redundancy feature selection for nonlinear data (Q2293268) (← links)
- On properties of a new decomposable entropy of Dempster-Shafer belief functions (Q2300460) (← links)
- Improving the efficiency and robustness of nested sampling using posterior repartitioning (Q2329804) (← links)
- Biases in estimating the balance between model-free and model-based learning systems due to model misspecification (Q2332840) (← links)
- Learning in crowded markets (Q2334124) (← links)
- Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions (Q2374734) (← links)
- Path-space variational inference for non-equilibrium coarse-grained systems (Q2375138) (← links)
- Bayesian networks and information theory for audio-visual perception modeling (Q2376501) (← links)
- Data-driven decomposition for multi-class classification (Q2384949) (← links)
- Associative pattern recognition through macro-molecular self-assembly (Q2401481) (← links)
- Variational Bayesian inference with Gaussian-mixture approximations (Q2447092) (← links)
- Some joys and trials of mathematical neuroscience (Q2450880) (← links)
- Modeling of nonlinear biological phenomena modeled by S-systems (Q2452902) (← links)
- A unified balanced approach to multichannel blind deconvolution (Q2460901) (← links)
- Preservation of probabilistic information flow under refinement (Q2482443) (← links)
- Bayesian regularization neural networks for optimizing fluid flow processes (Q2494947) (← links)
