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Neural correlates of natural human echolocation in early and late blind echolocation experts.Efficient discovery of overlapping communities in massive networksTopographic factor analysis: a Bayesian model for inferring brain networks from neural dataA Simulation Optimization Approach to Epidemic Forecasting.Neural correlates of behavioral amplitude modulation sensitivity in the budgerigar midbrainSome dynamics of signaling games.NONPARAMETRIC BENCHMARK ANALYSIS IN RISK ASSESSMENT: A COMPARATIVE STUDY BY SIMULATION AND DATA ANALYSISSlope bias of psychometric functions derived from adaptive data.Locally weighted histogram analysis and stochastic solution for large-scale multi-state free energy estimation.Optimizing the data combination rule for seamless phase II/III clinical trials.Semisupervised, Multilabel, Multi-Instance Learning for Structured Data.Stochastic approximation boosting for incomplete data problems.A common representation of spatial features drives action and perception: grasping and judging object features within trialsAccelerating Bayesian inference for evolutionary biology models.Dyslexic adults can learn from repeated stimulus presentation but have difficulties in excluding external noiseA self-organizing principle for learning nonlinear manifoldsPsychometrics behind Computerized Adaptive Testing.OBSERVATIONS ON THE APPLICATION OF THE ROBBINS-MONRO PROCESS TO SEQUENTIAL TOXICITY ASSAYSSpeeding up ecological and evolutionary computations in R; essentials of high performance computing for biologists.Diffusion-based EM algorithm for distributed estimation of Gaussian mixtures in wireless sensor networks.A Unifying Probabilistic View of Associative LearningThe Dopaminergic Midbrain Encodes the Expected Certainty about Desired OutcomesFast Nonparametric Density-Based Clustering of Large Data Sets Using a Stochastic Approximation Mean-Shift Algorithm.Phase I studies of chemotherapeutic agents in cancer patients: a review of the designs.Computational Statistical Methods for Social Network Models.A new sentence generator providing material for maximum reading speed measurement.Scalable estimation strategies based on stochastic approximations: Classical results and new insights.Prototype-based models in machine learning.Parameter Identifiability in Statistical Machine Learning: A Review.Response-adaptive clinical trials: case studies in the medical literature.Free energy, value, and attractors.Forecasting hourly PM(10) concentration in Cyprus through artificial neural networks and multiple regression models: implications to local environmental management.Sequential Tests for Large-Scale Learning.A Fast Incremental Gaussian Mixture Model.Analysis of recurrent events: application to a clinical trial of colony stimulating factor with the endpoint of febrile neutropenia.Improved dosimetry for targeted radionuclide therapy using nonrigid registration on sequential SPECT images.A biologically plausible learning rule for the Infomax on recurrent neural networks.A Brief Survey of Modern Optimization for Statisticians.A Comparison of Estimation Methods for a Multi-unidimensional Graded Response IRT Model.Action unit classification using active appearance models and conditional random fields.
P2860
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P2860
description
im September 1951 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована у вересні 1951
@uk
name
A Stochastic Approximation Method
@en
A Stochastic Approximation Method
@nl
type
label
A Stochastic Approximation Method
@en
A Stochastic Approximation Method
@nl
prefLabel
A Stochastic Approximation Method
@en
A Stochastic Approximation Method
@nl
P356
P1476
A Stochastic Approximation Method
@en
P2093
Herbert Robbins
Sutton Monro
P304
P356
10.1214/AOMS/1177729586
P577
1951-09-01T00:00:00Z