The following pages link to (Q4217794):
Displaying 37 items.
- Transfer function and transient estimation by Gaussian process regression in the frequency domain (Q311958) (← links)
- The Monte Carlo computation error of transition probabilities (Q312118) (← links)
- Quantum field theory in a magnetic field: from quantum chromodynamics to graphene and Dirac semimetals (Q516733) (← links)
- Reasoning about conditional probabilities in a higher-order-logic theorem prover (Q545151) (← links)
- Formal reliability analysis of combinational circuits using theorem proving (Q545153) (← links)
- Classification of gene-expression data: the manifold-based metric learning way (Q850156) (← links)
- Formal probabilistic analysis of detection properties in wireless sensor networks (Q903510) (← links)
- Several methods usable in production systems prediction (Q969831) (← links)
- Distributed learning and cooperative control for multi-agent systems (Q976220) (← links)
- Arc refractor methods for adaptive importance sampling on large Bayesian networks under evidential reasoning (Q990999) (← links)
- Formalization of the standard uniform random variable (Q995466) (← links)
- On Tikhonov regularization, bias and variance in nonlinear system identification (Q1356153) (← links)
- Slice sampling. (With discussions and rejoinder) (Q1412362) (← links)
- Gaussian process hyper-parameter estimation using parallel asymptotically independent Markov sampling (Q1659011) (← links)
- Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse (Q1674709) (← links)
- Targeted influential nodes selection in location-aware social networks (Q1723006) (← links)
- Identification of nonlinear systems using empirical data and prior knowledge -- An optimization approach (Q1914996) (← links)
- Experiences with an interactive museum tour-guide robot (Q1978435) (← links)
- Robust topology optimization for harmonic displacement minimization of structures subjected to uncertainty in the excitation frequency (Q2021926) (← links)
- Probabilistic programming with stochastic variational message passing (Q2169202) (← links)
- KATZ centrality with biogeography-based optimization for influence maximization problem (Q2185829) (← links)
- Localization for MCMC: sampling high-dimensional posterior distributions with local structure (Q2214525) (← links)
- Variance reduction techniques in particle-based visual contour tracking (Q2270697) (← links)
- Kernel learning at the first level of inference (Q2339392) (← links)
- Graphical models for statistical inference and data assimilation (Q2371197) (← links)
- Formal reasoning about finite-state discrete-time Markov chains in HOL (Q2434565) (← links)
- Theoretical analysis and practical insights on importance sampling in Bayesian networks (Q2463642) (← links)
- Importance sampling algorithms for Bayesian networks: principles and performance (Q2473194) (← links)
- Exploiting Hessian matrix and trust-region algorithm in hyperparameters estimation of Gaussian process (Q2491022) (← links)
- Robust face tracking by integration of two separate trackers: skin color and facial shape (Q2643911) (← links)
- Gaussian process internal model control (Q2935112) (← links)
- Redrawing-resampling rejection controlled sequential importance sampling (Q3389623) (← links)
- Formal Probabilistic Analysis of Stuck-at Faults in Reconfigurable Memory Arrays (Q3605473) (← links)
- Explorations in Monte Carlo Methods (Q3621900) (← links)
- (Q4856749) (← links)
- Introducing Monte Carlo Methods with R (Q5850829) (← links)
- Causal Graphical Models with Latent Variables: Learning and Inference (Q5900906) (← links)
