| Policy Optimization for Berth Allocation Problems | 0 | 0.34 | 2021 |
| Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation | 0 | 0.34 | 2021 |
| Voronoi tree models for distribution-preserving sampling and generation. | 0 | 0.34 | 2020 |
| An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations. | 0 | 0.34 | 2019 |
| Distribution-Preserving Stratified Sampling for Learning Problems. | 0 | 0.34 | 2018 |
| QuantTree: Histograms for Change Detection in Multivariate Data Streams. | 0 | 0.34 | 2018 |
| An Extreme Learning Machine Approach to Density Estimation Problems | 0 | 0.34 | 2017 |
| A Novel Approach for Sampling in Approximate Dynamic Programming Based on F-Discrepancy. | 0 | 0.34 | 2017 |
| Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines. | 7 | 0.50 | 2016 |
| F-Discrepancy for Efficient Sampling in Approximate Dynamic Programming. | 3 | 0.43 | 2016 |
| Lattice Point Sets For Efficient Kernel Smoothing Models | 0 | 0.34 | 2015 |
| Efficient Use Of Nadaraya-Watson Models And Low-Discrepancy Sequences For Approximate Dynamic Programming | 0 | 0.34 | 2015 |
| An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models | 0 | 0.34 | 2014 |
| Local linear regression for function learning: an analysis based on sample discrepancy. | 3 | 0.40 | 2014 |
| An analysis based on F-discrepancy for sampling in regression tree learning | 2 | 0.37 | 2014 |
| Lattice sampling for efficient learning with Nadaraya-Watson local models | 2 | 0.41 | 2014 |
| Modelling of Fault Detection and Diagnostics for Hybrid Bus Using Chain Graph Models. | 0 | 0.34 | 2014 |
| Low-discrepancy sampling for approximate dynamic programming with local approximators | 2 | 0.39 | 2014 |
| Function learning with local linear regression models: An analysis based on discrepancy | 3 | 0.47 | 2013 |
| Learning with kernel smoothing models and low-discrepancy sampling. | 9 | 0.75 | 2013 |
| Quasi-random sampling for approximate dynamic programming | 4 | 0.47 | 2013 |
| Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. | 10 | 0.49 | 2013 |
| Predictive Control of Container Flows in Maritime Intermodal Terminals. | 10 | 0.60 | 2013 |
| Local Models for data-driven learning of control policies for complex systems | 5 | 0.56 | 2012 |
| Efficient kernel models for learning and approximate minimization problems | 13 | 0.76 | 2012 |
| A comparison of global and semi-local approximation in T-stage stochastic optimization | 14 | 0.92 | 2011 |
| A numerical method for minimum distance estimation problems | 1 | 0.35 | 2011 |
| An Optimized Content Replication and Distribution Framework for Vehicular Networks. | 3 | 0.39 | 2011 |
| Design, optimization and performance evaluation of a content distribution overlay for streaming | 3 | 0.38 | 2011 |
| Lattice point sets for deterministic learning and approximate optimization problems. | 3 | 0.45 | 2010 |
| Efficient global maximum likelihood estimation through kernel methods. | 4 | 0.57 | 2010 |
| Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling | 8 | 0.63 | 2010 |
| Functional Optimization Through Semilocal Approximate Minimization | 6 | 0.61 | 2010 |
| Optimization of a peer-to-peer system for efficient content replication | 1 | 0.36 | 2009 |
| Optimization of an eMule-like modifier strategy | 4 | 0.45 | 2008 |
| Deterministic learning for maximum-likelihood estimation through neural networks. | 6 | 0.62 | 2008 |
| Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals | 19 | 1.19 | 2008 |
| Design of a peer-to-peer system for optimized content replication | 6 | 0.47 | 2007 |
| Design of asymptotic estimators: an approach based on neural networks and nonlinear programming. | 14 | 0.75 | 2007 |
| Neural network and regression spline value function approximations for stochastic dynamic programming | 21 | 1.31 | 2007 |
| Efficient sampling in approximate dynamic programming algorithms | 14 | 0.76 | 2007 |
| Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization | 22 | 1.28 | 2006 |
| Design of Parameterized State Observers and Controllers for a Class of Nonlinear Continuous-Time Systems | 0 | 0.34 | 2006 |
| An approximate solution to optimal L/sub p/ state estimation problems | 0 | 0.34 | 2005 |
| Application of neural control to economic growth problems. | 0 | 0.34 | 2003 |
| A Deterministic Learning Approch Based on Discrepancy | 4 | 0.45 | 2003 |
