IRIS
SANGUINETI, MARCELLO
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
EU - Europa 16.790
Totale 16.790
Salva come PNG Salva come JPEG
Nazione #
IT - Italia 16.790
Totale 16.790
Salva come PNG Salva come JPEG
Città #
Genova 13.722
Genoa 1.425
Rapallo 1.248
Vado Ligure 366
Bordighera 29
Totale 16.790
Salva come PNG Salva come JPEG
Nome #
A Model of Buffer Occupancy for ICNs 170
On Dimension-Independent Approximation by Neural Networks and Linear Approximators 152
Approximating networks, dynamic programming and stochastic approximation 149
A stochastic knapsack problem with nonlinear capacity constraint 140
Narrowing the search for optimal call-admission policies via a nonlinear stochastic knapsack model 138
Suboptimal solutions to team optimization problems with stochastic information structure 135
Suboptimal Solutions to Dynamic Optimization Problems via Approximations of the Policy Functions 132
On Spectral Windows in Supervised Learning From Data 131
Model complexities of shallow networks representing highly varying functions 129
A multimodal dataset for the analysis of movement qualities in karate martial art 127
The Extended Ritz Method in stochastic functional optimization: an example of dynamic routing in traffic networks 126
Learning as constraint reactions 125
Supervised and Semi-Supervised Classifiers for the Detection of Flood-Prone Areas 125
Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations 125
Approximation structures with moderate complexity in functional optimization and dynamic programming 120
Comparison of Worst Case Errors in Linear and Neural Network Approximation 119
Dynamic programming and value-function approximation in sequential decision problems: Error analysis and numerical results 118
The weight-decay technique in learning from data: An optimization point of view 115
Batch-mode identification of black-box models using feedforward neural networks 115
Approximation Schemes for Functional Optimization Problems 115
Optimization Based on Quasi-Monte Carlo Sampling to Design State Estimators for Nonlinear Systems 114
Error Bounds for Suboptimal Solutions to Kernel Principal Component Analysis 114
A theoretical analysis of buffer occupancy for Intermittently-Connected Networks 114
Geometric Rates of Approximation by Neural Networks 113
The Extended Ritz Method for Functional Optimization: Overview and Applications to Single-Person and Team Optimal Decision Problems 113
Approximate solution of optimal estimation problems in Lp spaces 112
Classifiers for the Detection of Flood Prone Areas Using Remote Sensed Elevation Data 112
Stable approximate estimators for a class of nonlinear systems 111
Minimization of Error Functionals Over Variable-Basis Functions 110
Accuracy of Suboptimal Solutions to Kernel Principal Component Analysis 110
A theoretical framework for supervised learning from regions 110
Online Learning as an LQG Optimal Control Problem with Random Matrices 110
Approximate Dynamic Programming for Stochastic N-Stage Optimization with Application to Optimal Consumption under Uncertainty 109
An approach to transportation network analysis via transferable utility games 108
Accuracy of approximations of solutions to Fredholm equations by kernel methods 107
An Application to Two-Hop Forwarding of a Model of Buffer Occupancy in ICNs 106
Some Comparisons of Complexity in Dictionary-Based and Linear Computational Models 106
Geometric Upper Bounds on Rates of Variable-Basis Approximation 106
Approximating Multivariable Functions by Feedforward Neural Nets 105
Design of asymptotic estimators: An approach based on neural networks and nonlinear programming 104
On the detection of the level of attention in an orchestra through head movements 104
Optimization-based learning with bounded error for feedforward neural networks 104
Commitment-Based Equilibrium Environmental Strategies Under Time-Dependent Absorption Efficiency 104
Estimates of Approximation Rates by Gaussian Radial-Basis Functions 103
A nonlinear programming algorithm for neural-network learning based on the Kalman filter 102
Error Estimates for Approximate Optimization by the Extended Ritz Method 102
Minimizing Sequences for a Family of Functional Optimal Estimation Problems 101
Bounds for approximate solutions of Fredholm integral equations using kernel networks 100
Towards automated analysis of joint music performance in the orchestra 100
Foundations of Support Constraint Machines 100
A recursive algorithm for nonlinear least-squares problems 99
Learning with Generalization Capability by Kernel Methods of Bounded Complexity 99
Design of Observers for Continuous-Time Nonlinear Systems Using Neural Networks 99
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data 98
On the design of approximate state estimators for nonlinear systems 98
Tight Bounds on Rates of Neural-Network Approximation 97
Exploiting the Shapley value in the estimation of the position of a point of interest for a group of individuals 97
Suboptimal policies for stochastic N-stage optimization problems: Accuracy analysis and a case study from optimal consumption 97
Water Reservoirs Management Under Uncertainty by Approximating Networks and Learning from Data 97
An approximate solution to optimal Lp state estimation problems 96
New Insights into Witsenhausen’s Counterexample 96
Approximate Minimization of the Regularized Expected Error Over Kernel Models 96
Complexity of Gaussian Radial-Basis Networks Approximating Smooth Functions 96
Learning with hard constraints 95
Learning with boundary conditions 94
Approximating networks for the solution of T-stage stochastic optimal control problems 94
Estimates of Variation with Respect to a Set and Applications to Optimization Problems 94
Learning with mixed hard/soft pointwise constraints 94
Nonlinear stabilization by receding-horizon neural regulators 93
EKF learning for feedforward neural networks 93
Input-output stability for optimal estimation problems 93
Regularization and Suboptimal Solutions in Learning from Data 92
Value and Policy Function Approximations in Infinite-Horizon Optimization Problems 92
Estimates of Covering Numbers of Convex Sets with Slowly Decaying Orthogonal Subsets 92
Bounds on the Complexity of Neural-Network Models and Comparison With Linear Methods 91
On a Variational Norm Tailored to Variable-Basis Approximation Schemes 90
Evaluation of the Average Packet Delivery Delay in Highly-Disrupted Networks: The DTN and IP-like Protocol Cases 89
Graph-Restricted Game Approach for Investigating Human Movement Qualities 89
An Algorithm for Parameters Estimation: Bounds onthe Estimation Error and Application to Time-Series Prediction 88
CAC with Nonlinearly-Constrained Feasibility Regions 88
Suboptimal Solutions to Team Optimization Problems with Statistical Information Structure 87
Complexity of Shallow Networks Representing Functions with Large Variations 87
Evaluating flood hazard at the catchment scale via machine-learning techniques 87
Water Reservoirs Management Under Uncertainty by Approximating Networks and Learning from Data 87
Approximating networks and extended Ritz method for the solution of functional optimization problems 87
Neural Approximations in Discounted Infinite-Horizon Stochastic Optimal Control Problems 87
Design of parameterized state observers and controllers for a class of nonlinear continuous-time systems 87
Approach to Transportation Network Analysis via Transferable Utility Games 87
Optimality Conditions for Coordinate-Convex Policies in CAC With Nonlinear Feasibility Boundaries 86
Can Dictionary-Based Computational Models Outperform the Best Linear Ones? 86
Editorial for the Special Issue: Operations Research and Data Mining in Biological Systems 85
Approximate Dynamic Programming by Value-Function Approximation via Variable-Basis Schemes 85
Universal Approximation by Ridge Computational Models: A Survey 84
Approximation of Nonlinear Least-Squares Solutions in the Presence of Disturbances 84
A Generalized Stochastic Knapsack Problem with Application in Call Admission Control 84
Can Two Hidden Layers Make a Difference? 84
Bounds on Rates of Variable-Basis and Neural-Network Approximation 84
Optimization of approximating networks for optimal fault diagnosis 83
An Optimization Point of View of Learning Tasks 83
Training feedforward neural networks trough a parameter-estimation-based algorithm 82
Totale 10.352
Salva come PNG Salva come JPEG
Categoria #
all - tutte 47.068
article - articoli 19.142
book - libri 231
conference - conferenze 19.612
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 8.083
Totale 94.136
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20204.514 0 0 207 227 403 526 769 307 428 910 577 160
2020/20211.239 65 104 78 121 78 124 77 108 131 170 86 97
2021/20222.340 51 139 112 296 51 184 190 569 121 243 98 286
2022/20231.628 159 102 20 186 222 272 28 113 284 17 177 48
2023/20241.000 60 140 19 113 90 160 64 53 40 18 83 160
2024/2025496 166 289 41 0 0 0 0 0 0 0 0 0
Totale 17.199