Charles W. Anderson

发表

LearnLoc: A framework for smart indoor localization with embedded mobile devices

Qi Han, Sudeep Pasricha, Viney Ugave, 2015, 2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coil

Douglas C. Hittle, Charles W. Anderson, Alon D. Katz, 1997, Artificial Intelligence in Engineering.

Can a reinforcement learning agent practice before it starts learning?

Minwoo Lee, Charles W. Anderson, C. Anderson, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Q-Learning with Hidden-Unit Restarting

Charles W. Anderson, C. Anderson, 1992, NIPS.

Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface

James N. Knight, Charles W. Anderson, David A. Peterson, 2005, EURASIP J. Adv. Signal Process..

Program committee

Maumita Bhattacharya, Charles W. Anderson, Charles Sturt, 2010, 2010 Sixth International Conference on Natural Computation.

Application of connectionist learning methods to manufacturing process monitoring

Richard S. Sutton, Charles W. Anderson, Judy A. Franklin, 1988, Proceedings IEEE International Symposium on Intelligent Control 1988.

An Experimental System for Advanced Heating, Ventilating and Air Conditioning (HVAC) Control

Douglas C. Hittle, Charles W. Anderson, Jilin Tu, 2007 .

Learning and problem-solving with multilayer connectionist systems (adaptive, strategy learning, neural networks, reinforcement learning)

Charles W. Anderson, C. Anderson, 1986 .

Neuronlike adaptive elements that can solve difficult learning control problems

Richard S. Sutton, Andrew G. Barto, Charles W. Anderson, 1983, IEEE Transactions on Systems, Man, and Cybernetics.

Exploiting Iso-error Pathways in the N, k-plane to Improve Echo State Network Performance

Charles W. Anderson, Keith Bush, 2006 .

Convergent reinforcement learning control with neural networks and continuous action search

Minwoo Lee, Charles W. Anderson, C. Anderson, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Robust reinforcement learning control

Douglas C. Hittle, Charles W. Anderson, Michael Anderson, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

MIMO robust control for heating, ventilating and air conditioning (HVAC) systems

Douglas C. Hittle, Charles W. Anderson, Jilin Tu, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Failure‐resilient real‐time processing of health streams

Shrideep Pallickara, Charles W. Anderson, Kathleen Ericson, 2015, Concurr. Comput. Pract. Exp..

Connectionist Learning Control at GTE Laboratories

Richard S. Sutton, Oliver G. Selfridge, Charles W. Anderson, 1990, Other Conferences.

EXTENDING THE KNOWLEDGE OF THE ARABIC SENTIMENT CLASSIFICATION USING A FOREIGN EXTERNAL LEXICAL SOURCE

Charles W. Anderson, Saud S. Alotaibi, Saud S. Alotaibi, 2016 .

Discriminating mental tasks using EEG represented by AR models

Charles W. Anderson, S. Shamsunder, E. A. Stolz, 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

A challenging set of control problems

W. Thomas Miller, Charles W. Anderson, W. Miller, 1990 .

Classification of EEG Signals from Four Subjects During Five Mental Tasks

Charles W. Anderson, C. Anderson, 2007 .

Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning

Charles W. Anderson, Daniel L. Elliott, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

The Power Plant: Teacher's Guide to Photosynthesis. Occasional Paper No. 112.

Charles W. Anderson, Kathleen J. Roth, Charles W. Anderson, 1987 .

Robust Reinforcement Learning with Relevance Vector Machines

Charles W. Anderson, Minwoo Lee, C. Anderson, 2016 .

EEG as a means of communication: preliminary experiments in EEG analysis using neural networks

Charles W. Anderson, E. A. Stolz, Saikumar V. Devulapalli, 1994, ASSETS.

Principles, First and Foremost: A Tool for Understanding Biological Processes

Charles W. Anderson, Jane Rice, Jennifer H. Doherty, 2014 .

Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks

Charles W. Anderson, Elliott M. Forney, C. Anderson, 2011, The 2011 International Joint Conference on Neural Networks.

EEG signal classification with different signal representations

Charles W. Anderson, E. A. Stolz, S. V. Devulapalli, 1995, Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.

Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016) pdf

Nancy M. Amato, Gregory S. Chirikjian, Geoffrey A. Hollinger, 2016, ArXiv.

Clinical applications of artificial neural networks: Recent advances in EEG signal analysis and classification

Charles W. Anderson, 2001 .

Behavioral Cloning of Student Pilots with Modular Neural Networks

Bruce A. Draper, Charles W. Anderson, David A. Peterson, 2000, ICML.

Tower of Hanoi with Connectionist Networks: Learning New Features

Charles W. Anderson, 1989, ML.

Learning a nonlinear model of a manufacturing process using multilayer connectionist networks

Richard S. Sutton, Charles W. Anderson, Judy A. Franklin, 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

Learning to Control an Inverted Pendulum with Connectionist Networks

Charles W. Anderson, C. Anderson, 1988, 1988 American Control Conference.

EEG-based Cognitive Task Classification with ICA and Neural Networks

Charles W. Anderson, David A. Peterson, C. Anderson, 1999, IWANN.

AI Assisted Annotator using Reinforcement Learning pdf

Charles W. Anderson, V. Ratna Saripalli, Gopal Avinash, 2019, SN Comput. Sci..

Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks

Douglas C. Hittle, James N. Knight, Charles W. Anderson, 2007, IEEE Transactions on Neural Networks.

Faster reinforcement learning after pretraining deep networks to predict state dynamics

Minwoo Lee, Charles W. Anderson, Daniel L. Elliott, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space

Minwoo Lee, Charles W. Anderson, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Strategy Learning with Multilayer Connectionist Representations

Charles W. Anderson, C. Anderson, 1987 .

Genetic reinforcement learning for neural networks

Rajarshi Das, Charles W. Anderson, Darrell Whitley, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning

Charles W. Anderson, R. Matthew Kretchmar, 1999, IWANN.

Exact Solution to the Governing PDE of a Hot Water-to-Air Finned Tube Cross-Flow Heat Exchanger

Douglas C. Hittle, Charles W. Anderson, Michael Anderson, 2004 .

ON THE PROMISE OF NEURAL NETWORKS TO SUPPORT SOFTWARE TESTING

Charles W. Anderson, Tsong Yueh Chen, R. Mraz, 1998 .

EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces

Charles W. Anderson, Michael J. Kirby, C. Anderson, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

Context-Aware Energy Enhancements for Smart Mobile Devices

Sudeep Pasricha, Yi Xiang, Charles W. Anderson, 2014, IEEE Transactions on Mobile Computing.

Restricted gradient-descent algorithm for value-function approximation in reinforcement learning

André da Motta Salles Barreto, Charles W. Anderson, André Barreto, 2008, Artif. Intell..

Dynamic Control of Soft Robots Using Reinforcement Learning

Jianguo Zhao, Charles W. Anderson, Ben Pawlowski, 2019, Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energ.

SELECTED BIBLIOGRAPHY ON CONNECTIONISM

Richard S. Sutton, Oliver G. Selfridge, Charles W. Anderson, 1989 .

Word Clustering as a Feature for Arabic Sentiment Classification

Charles W. Anderson, Saud S. Alotaibi, 2017 .

Analyzing Electroencephalograms Using Cloud Computing Techniques

Shrideep Pallickara, Charles W. Anderson, Kathleen Ericson, 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

Comparison of CMACs and radial basis functions for local function approximators in reinforcement learning

Charles W. Anderson, R. M. Kretchmar, C. Anderson, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

MIMO Robust Control for HVAC Systems

Douglas C. Hittle, Michael Anderson, Charles W. Anderson, 2008, IEEE Transactions on Control Systems Technology.

Exploiting spatiotemporal and device contexts for energy-efficient mobile embedded systems

Sudeep Pasricha, Charles W. Anderson, Brad K. Donohoo, 2012, DAC Design Automation Conference 2012.

Efficient indexing for object recognition using large networks

Charles W. Anderson, J. R. Beveridge, M. R. Stevens, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Robust reinforcement learning control with static and dynamic stability

Douglas C. Hittle, Charles W. Anderson, R. Matthew Kretchmar, 2001 .

Approximating a Policy Can be Easier Than Approximating a Value Function

Charles W. Anderson, C. Anderson, 2000 .

Reinforcement Learning with Modular Neural Networks for Control

Charles W. Anderson, Z. Hong, C. Anderson, 1994 .

EEG character identification using stimulus sequences designed to maximize mimimal hamming distance

Charles W. Anderson, Takamasa Shimada, Tadanori Fukami, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

EEG signal compression with ADPCM subband coding

Charles W. Anderson, Z. Sijercic, G. C. Agarwal, 1996, Proceedings of the 39th Midwest Symposium on Circuits and Systems.

Geometric Analysis for the Characterization of Nonstationary Time Series

Michael Kirby, Charles W. Anderson, M. Kirby, 2003 .

Identifying Mental Tasks from Spontaneous EEG: Signal Representation and Spatial Analysis

Charles W. Anderson, C. Anderson, 1999, IWANN.

Building Networks to Support Effective Use of Science Curriculum Materials in the Carbon TIME Project

William R. Penuel, Charles W. Anderson, Kenneth A. Frank, 2018, Networked by Design.

Fast Generation of NURBS Surfaces from Polygonal Mesh Models of Human Anatomy

Charles W. Anderson, Steward Crawford-hines, Charles W. Anderson, 1999 .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information

Michael J. Watts, Haibo He, Giorgio Battistelli, 2020, IEEE Transactions on Neural Networks and Learning Systems.