Pages that link to "Item:Q1851214"

The following pages link to Stochastic approximation and its applications (Q1851214):

Displaying 50 items.

• Sign-error adaptive filtering algorithms involving Markovian parameters (Q256310) (← links)
• Stopping rules for optimization algorithms based on stochastic approximation (Q289128) (← links)
• Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design (Q313259) (← links)
• Recursive estimators with Markovian jumps (Q360693) (← links)
• Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds (Q394374) (← links)
• Exact inference in contingency tables via stochastic approximation Monte Carlo (Q395934) (← links)
• Nonparametric recursive quantile estimation (Q395976) (← links)
• Recursive identification of errors-in-variables Wiener-Hammerstein systems (Q397541) (← links)
• Convergence rate for predictive recursion estimation of finite mixtures (Q419247) (← links)
• Containment control of multiagent systems with multiple leaders and noisy measurements (Q437527) (← links)
• Markov chain approach to identifying Wiener systems (Q439801) (← links)
• Iterative learning control for large scale nonlinear systems with observation noise (Q445110) (← links)
• Stabilization of stochastic approximation by step size adaptation (Q450652) (← links)
• Nonparametric approach to identifying NARX systems (Q469615) (← links)
• Convergence rate of the asymmetric Deffuant-Weisbuch dynamics (Q498067) (← links)
• Recursive estimation for ordered eigenvectors of symmetric matrix with observation noise (Q549818) (← links)
• Trajectory averaging for stochastic approximation MCMC algorithms (Q605929) (← links)
• Identification for Wiener systems with internal noise (Q732793) (← links)
• Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model (Q764356) (← links)
• One-dimensional global optimization for observations with noise (Q814080) (← links)
• Improving SAMC using smoothing methods: Theory and applications to Bayesian model selection problems (Q834357) (← links)
• Recursive identification for EIV ARMAX systems (Q848399) (← links)
• Computational aspects of a method of stochastic approximation (Q853506) (← links)
• Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities (Q892799) (← links)
• Identification of the gain system with quantized observations and bounded persistent excitations (Q893612) (← links)
• A stopping rule for stochastic approximation (Q900181) (← links)
• Recursive identification of FIR systems with binary-valued outputs and communication channels (Q900213) (← links)
• Consensus-based decentralized real-time identification of large-scale systems (Q900223) (← links)
• Q-learning algorithms with random truncation bounds and applications to effective parallel computing (Q946195) (← links)
• Almost sure convergence of randomly truncated stochastic algorithms under verifiable condi\-tions (Q952845) (← links)
• Learning Bayesian networks for discrete data (Q961206) (← links)
• Adaptive tracking and recursive identification for Hammerstein systems (Q976214) (← links)
• How does a stochastic optimization/approximation algorithm adapt to a randomly evolving optimum/root with jump Markov sample paths (Q1016349) (← links)
• Optimal estimator for distributed anonymous observers (Q1024251) (← links)
• Stochastic approximation - A powerful method for solving deterministic numerical problems (Q1116288) (← links)
• Abstract stochastic approximations and applications (Q1122911) (← links)
• Algorithmes stochastiques à bruit dépendant (Dependent noise for stochastic algorithms). (Q1415531) (← links)
• Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants (Q1621320) (← links)
• Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models (Q1637273) (← links)
• Convergence and efficiency of adaptive importance sampling techniques with partial biasing (Q1637382) (← links)
• Adaptive stochastic approximation algorithm (Q1689446) (← links)
• Local variable selection of nonlinear nonparametric systems by first order expansion (Q1697155) (← links)
• Asymptotic bias of stochastic gradient search (Q1704136) (← links)
• Event-triggered identification of FIR systems with binary-valued output observations (Q1716580) (← links)
• The robust consensus of a noisy Deffuant-Weisbuch model (Q1720362) (← links)
• Recursive identification of systems with binary-valued outputs and with ARMA noises (Q1796990) (← links)
• Distributed time synchronization for networks with random delays and measurement noise (Q1796992) (← links)
• Identification of Wiener, Hammerstein, and NARX systems as Markov chains with improved estimates for their nonlinearities (Q1932733) (← links)
• Long range search for maximum likelihood in exponential families (Q1950807) (← links)
• Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema (Q2018557) (← links)