The interface between simulation output analysis research and practice
WSC '95 Proceedings of the 27th conference on Winter simulation
Stochastic version of second-order (Newton-Raphson) optimization using only function measurements
WSC '95 Proceedings of the 27th conference on Winter simulation
Online learning via congregational gradient descent
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Mean-field theory for batched TD (&lgr;)
Neural Computation
A review of simulation optimization techniques
Proceedings of the 30th conference on Winter simulation
Convergence analysis of temporal-difference learning algorithms with linear function approximation
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Stochastic optimization and the simultaneous perturbation method
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Stochastic learning of strategic equilibria for auctions
Neural Computation
Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm
Neural Processing Letters
Learning with Nearest Neighbour Classifiers
Neural Processing Letters
Proceedings of the 33nd conference on Winter simulation
Embedding a Priori Knowledge in Reinforcement Learning
Journal of Intelligent and Robotic Systems
On the Stability of Source Separation Algorithms
Journal of VLSI Signal Processing Systems
Constrained Adaptive Linear Multiuser Detection Schemes
Journal of VLSI Signal Processing Systems
Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm
Journal of VLSI Signal Processing Systems
A simulated annealing version of the EM algorithm for non-Gaussian deconvolution
Statistics and Computing
Learning Equilibrium Play: A Myopic Approach
Computational Optimization and Applications
Performance Evaluation and Policy Selection in Multiclass Networks
Discrete Event Dynamic Systems
Average Waiting Time Profiles of Uniform Distributed Queue Dual Bus System Model
IEEE Transactions on Parallel and Distributed Systems
Fast adaptive eigenvalue decomposition: a maximum likelihood approach
Signal Processing
On the Asymptotic Behaviour of a Constant Stepsize Temporal-Difference Learning Algorithm
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Stochastic Approximation and Rate-Distortion Analysis for Robust Structure and Motion Estimation
International Journal of Computer Vision
Blind Channel Identification Based on Noisy Observation by Stochastic Approximation Method
Journal of Global Optimization
Face reconstruction from monocular video using uncertainty analysis and a generic model
Computer Vision and Image Understanding - Special issue on Face recognition
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers
Applied Intelligence
Blind Multiuser Detection in Multirate CDMA Based on Cyclic LMS Adaptation
Wireless Personal Communications: An International Journal
On the Lock-in Probability of Stochastic Approximation
Combinatorics, Probability and Computing
PERFORMANCE ANALYSIS OF THE RANDOM EARLY DETECTION ALGORITHM
Probability in the Engineering and Informational Sciences
A LEARNING ALGORITHM FOR DISCRETE-TIME STOCHASTIC CONTROL
Probability in the Engineering and Informational Sciences
Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications
Journal of VLSI Signal Processing Systems
Distributed Topology Control of Wireless Networks
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Adaptive algorithms for first principal eigenvector computation
Neural Networks
Adaptive error-constrained method for LMS algorithms and applications
Signal Processing
A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms
Neural Computation
A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal-Difference Learning
Discrete Event Dynamic Systems
Plant identification via adaptive combination of transversal filters
Signal Processing - Signal processing in UWB communications
On the efficiency of adaptive MCMC algorithms
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Fast adaptive LDA using quasi-Newton algorithm
Pattern Recognition Letters
Models of the Spiral-Down Effect in Revenue Management
Operations Research
Estimating the "Wrong" Graphical Model: Benefits in the Computation-Limited Setting
The Journal of Machine Learning Research
A Stochastic Algorithm for Feature Selection in Pattern Recognition
The Journal of Machine Learning Research
Period analysis of variable stars: Temporal dependence and local optima
Computational Statistics & Data Analysis
Tracking of multiple moving sources using recursive EM algorithm
EURASIP Journal on Applied Signal Processing
Stochastic power control for time-varying long-term fading wireless networks
EURASIP Journal on Applied Signal Processing
Subspace-based algorithms for structural identification, damage detection, and sensor data fusion
EURASIP Journal on Applied Signal Processing
Adaptive stepsize selection for tracking in a regime-switching environment
Automatica (Journal of IFAC)
Analyzing the (1, λ) evolution strategy via stochastic approximation methods
Evolutionary Computation
How dependencies between successive examples affect on-line learning
Neural Computation
An analysis of reinforcement learning with function approximation
Proceedings of the 25th international conference on Machine learning
Distributed topology control of wireless networks
Wireless Networks
Unsupervised slow subspace-learning from stationary processes
Theoretical Computer Science
A class of mean field interaction models for computer and communication systems
Performance Evaluation
Statistics and Computing
A class of stochastic gradient algorithms with exponentiated error cost functions
Digital Signal Processing
Wireless Channel Tracking Based on Optimum Predictive LMS
Wireless Personal Communications: An International Journal
The factored policy-gradient planner
Artificial Intelligence
Tracking and identification of regime-switching systems using binary sensors
Automatica (Journal of IFAC)
A Simple Adaptive Algorithm for Principle Component and Independent Component Analysis
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Natural actor-critic algorithms
Automatica (Journal of IFAC)
From Q(λ) to average Q-learning: efficient implementation of an asymptotic approximation
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Cooperative behavior of nano-robots as an analogous of the quantum harmonic oscillator
Annals of Mathematics and Artificial Intelligence
IEEE Transactions on Signal Processing
A new approach to active noise and vibration control-part I: the known frequency case
IEEE Transactions on Signal Processing
Adaptive semiblind calibration of bandwidth mismatch for two-channel time-interleaved ADCs
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Structured prediction by joint kernel support estimation
Machine Learning
An adaptive nonlinear filter for system identification
EURASIP Journal on Advances in Signal Processing
LMS algorithm with an adaptive neural network cost function
WSEAS TRANSACTIONS on COMMUNICATIONS
Computational Economics
Algorithms and networks for accelerated convergence of adaptive LDA
Pattern Recognition
A modified Armijo rule for the online selection of learning rate of the LMS algorithm
Digital Signal Processing
Adaptive algorithms and networks for optimal feature extraction from Gaussian data
Pattern Recognition Letters
Higher Coordination With Less Control-A Result of Information Maximization in the Sensorimotor Loop
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
An unbiased explicit adaptive gain and time-delay estimation algorithm
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Change-point monitoring for online stochastic approximations
Automatica (Journal of IFAC)
λ-Perceptron: An adaptive classifier for data streams
Pattern Recognition
Stabilizing transport dynamics of control channels over wide-area networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Stochastic Root Finding and Efficient Estimation of Convex Risk Measures
Operations Research
Neural Processing Letters
Real-time robust pitch detector
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
IEEE Transactions on Information Theory
Auxiliary-function-based independent component analysis for super-Gaussian sources
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Strong sub-and super-gaussianity
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Hybrid Supervised-Unsupervised Channel Estimation Scheme with Dynamic Transmission of Pilots
Neural Processing Letters
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Fixed step size recursive algorithms for the covering problem
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Continuous-Time Stochastic Averaging on the Infinite Interval for Locally Lipschitz Systems
SIAM Journal on Control and Optimization
A frequentist approach to mapping under uncertainty
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Decentralized activation in sensor networks - global games and adaptive filtering games
Digital Signal Processing
On the Convergence Rate for Stochastic Approximation in the Nonsmooth Setting
Mathematics of Operations Research
Automatica (Journal of IFAC)
A computational framework for empirical Bayes inference
Statistics and Computing
Fast adaptive algorithms for minor component analysis using Householder transformation
Digital Signal Processing
On the Convergence, Lock-In Probability, and Sample Complexity of Stochastic Approximation
SIAM Journal on Control and Optimization
On-line changepoint detection and parameter estimation with application to genomic data
Statistics and Computing
Unsupervised slow subspace-learning from stationary processes
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
An online AUC formulation for binary classification
Pattern Recognition
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Recursive adaptation of stepsize parameter for non-stationary environments
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms
The Journal of Machine Learning Research
On-board Component Fault Detection and Isolation Using the Statistical Local Approach
Automatica (Journal of IFAC)
Brief paper: Average cost temporal-difference learning
Automatica (Journal of IFAC)
Statistical Analysis and Data Mining
Gradient-based feedback control of quantum systems
Optical Memory and Neural Networks
Stochastic approximation with long range dependent and heavy tailed noise
Queueing Systems: Theory and Applications
Robust adaptive Metropolis algorithm with coerced acceptance rate
Statistics and Computing
Analyzing subtle features of natural time series by means of a wavelet-based approach
Pattern Recognition and Image Analysis
Optimal Split of Orders Across Liquidity Pools: A Stochastic Algorithm Approach
SIAM Journal on Financial Mathematics
Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon
Fundamenta Informaticae
Fast multi-task learning for query spelling correction
Proceedings of the 21st ACM international conference on Information and knowledge management
On a convergent stochastic estimation algorithm for frailty models
Statistics and Computing
Adaptive quantizers for estimation
Signal Processing
Multidimensional stochastic approximation: Adaptive algorithms and applications
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on simulation in complex service systems
Multichannel self-optimizing narrowband interference canceller
Signal Processing
Automatica (Journal of IFAC)
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