Don R. Hush

According to our database, Don R. Hush authored at least 53 papers between 1984 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Maximizing University Enrollment Using Institutional-Based Aid Scholarship.

Ahmad Slim, Don R. Hush, Tushar Ojha, Georges El-Howayek, Chaouki T. Abdallah, Terry Babbitt

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2019

An Automated Framework to Recommend A Suitable Academic Program, Course and Instructor.

Ahmad Slim, Don R. Hush, Tushar Ojha, Chaouki T. Abdallah, Gregory L. Heileman, Georges El-Howayek

Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

2018

Predicting Student Enrollment based on Student and College Characteristics.

Ahmad Slim, Don R. Hush, Tushar Ojha, Terry Babbitt

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2013

Interactive Machine Learning in Data Exploitation.

Reid B. Porter, James Theiler, Don R. Hush

Comput. Sci. Eng., 2013

2012

Ordered Hypothesis Machines.

G. Beate Zimmer, Don R. Hush, Reid B. Porter

J. Math. Imaging Vis., 2012

2011

Training SVMs Without Offset.

Ingo Steinwart, Don R. Hush, Clint Scovel

J. Mach. Learn. Res., 2011

Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images.

Maria A. Zuluaga, Don R. Hush, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Error minimizing algorithms for nearest neighbor classifiers.

Reid B. Porter, Don R. Hush, G. Beate Zimmer

Proceedings of the Image Processing: Algorithms and Systems IX, 2011

Interactive image quantification tools in nuclear material forensics.

Reid B. Porter, Christy Ruggiero, Don R. Hush, Neal R. Harvey, Patrick Kelly, Wayne Scoggins, Lav Tandon

Proceedings of the Image Processing: Machine Vision Applications IV, 2011

A comparison of methods for estimating broadband noise in the frequency domain.

Don R. Hush, Norma H. Pawley, Kary L. Myers, Bob Nemzek

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Wide-Area Motion Imagery.

Reid B. Porter, Andrew M. Fraser, Don R. Hush

IEEE Signal Process. Mag., 2010

Algorithms for optimal dyadic decision trees.

Don R. Hush, Reid B. Porter

Mach. Learn., 2010

Radial kernels and their reproducing kernel Hilbert spaces.

Clint Scovel, Don R. Hush, Ingo Steinwart, James Theiler

J. Complex., 2010

Statistics for characterizing data on the periphery.

James Theiler, Don R. Hush

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Learning from dependent observations.

Ingo Steinwart, Don R. Hush, Clint Scovel

J. Multivar. Anal., 2009

Stack Filter Classifiers.

Reid B. Porter, G. Beate Zimmer, Don R. Hush

Proceedings of the Mathematical Morphology and Its Application to Signal and Image Processing, 2009

Optimal Rates for Regularized Least Squares Regression.

Ingo Steinwart, Don R. Hush, Clint Scovel

Proceedings of the COLT 2009, 2009

2007

Stability of Unstable Learning Algorithms.

Don R. Hush, Clint Scovel, Ingo Steinwart

Mach. Learn., 2007

Gaps in Support Vector Optimization.

Nikolas List, Don R. Hush, Clint Scovel, Ingo Steinwart

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels.

Ingo Steinwart, Don R. Hush, Clint Scovel

IEEE Trans. Inf. Theory, 2006

QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines.

Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Steinwart

J. Mach. Learn. Res., 2006

An Oracle Inequality for Clipped Regularized Risk Minimizers.

Ingo Steinwart, Don R. Hush, Clint Scovel

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Function Classes That Approximate the Bayes Risk.

Ingo Steinwart, Don R. Hush, Clint Scovel

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005

A Classification Framework for Anomaly Detection.

Ingo Steinwart, Don R. Hush, Clint Scovel

J. Mach. Learn. Res., 2005

2004

Fat-Shattering of Affine Functions.

Don R. Hush, Clint Scovel

Comb. Probab. Comput., 2004

Density Level Detection is Classification.

Ingo Steinwart, Don R. Hush, Clint Scovel

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Multiple instance learning using simple classifiers.

Adam Cannon, Don R. Hush

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

2003

Selecting a restoration technique to minimize OCR error.

Mike Cannon, Mike Fugate, Don R. Hush, Clint Scovel

IEEE Trans. Neural Networks, 2003

Polynomial-Time Decomposition Algorithms for Support Vector Machines.

Don R. Hush, Clint Scovel

Mach. Learn., 2003

Weighted Order Statistic Classifiers with Large Rank-Order Margin.

Reid B. Porter, Damian Eads, Don R. Hush, James Theiler

Proceedings of the Machine Learning, 2003

2002

Machine Learning with Data Dependent Hypothesis Classes.

Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint Scovel

J. Mach. Learn. Res., 2002

2001

On the VC Dimension of Bounded Margin Classifiers.

Don R. Hush, Clint Scovel

Mach. Learn., 2001

Product property monitoring for a batch polymerization reaction system.

Kenneth R. Muske, James W. Howse, Don R. Hush

Proceedings of the American Control Conference, 2001

1999

Training a Sigmoidal Node Is Hard.

Don R. Hush

Neural Comput., 1999

1998

Efficient algorithms for function approximation with piecewise linear sigmoidal networks.

Don R. Hush, Bill G. Horne

IEEE Trans. Neural Networks, 1998

A Constructive Neural Network Algorithm for Function Approximation Using Locally Fit Sigmoids.

Tim Draelos, Don R. Hush

Int. J. Artif. Intell. Tools, 1998

1997

Function Approximation with the Sweeping Hinge Algorithm.

Don R. Hush, Fernando Lozano, Bill G. Horne

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Interactive DSP course development/teaching environment.

Chaouki T. Abdallah, Dalton Soares Arantes, Gregory L. Heileman, Don R. Hush, Ramiro Jordan, Roberto de Alencar Lotufo, Neeraj Magotra, L. Howard Pollard, Edl Schamiloglu, Robert Whitman

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

Network constraints and multi-objective optimization for one-class classification.

Mary M. Moya, Don R. Hush

Neural Networks, 1996

Bounds on the complexity of recurrent neural network implementations of finite state machines.

Bill G. Horne, Don R. Hush

Neural Networks, 1996

A constructive neural network algorithm for function approximation.

Tim Draelos, Don R. Hush

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Query by Image Example: The Comparison Algorithm for Navigating Digital Image Databases (CANDID) Approach.

Patrick M. Kelly, T. Michael Cannon, Don R. Hush

Proceedings of the Storage and Retrieval for Image and Video Databases III, 1995

1994

On the node complexity of neural networks.

Bill G. Horne, Don R. Hush

Neural Networks, 1994

1993

Progress in supervised neural networks.

Don R. Hush, Bill G. Horne

IEEE Signal Process. Mag., 1993

1992

Error surfaces for multilayer perceptrons.

Don R. Hush, Bill G. Horne, John M. Salas

IEEE Trans. Syst. Man Cybern., 1992

1990

Estimating a posteriori probability with P-type nodes.

Bill G. Horne, Don R. Hush

Proceedings of the IJCNN 1990, 1990

Statistical analysis of a change detector based on image modeling of difference picture.

Daechul Park, Don R. Hush

Proceedings of the 1990 International Conference on Acoustics, 1990

1988

Improving the learning rate of back-propagation with the gradient reuse algorithm.

Don R. Hush, John M. Salas

Proceedings of International Conference on Neural Networks (ICNN'88), 1988

Change detection for target detection and classification in video sequences.

Gregory W. Donohoe, Don R. Hush, Nasir Ahmed

Proceedings of the IEEE International Conference on Acoustics, 1988

1987

A new technique for adaptive frequency estimation and tracking.

Delores M. Etter, Don R. Hush

IEEE Trans. Acoust. Speech Signal Process., 1987

1986

An adaptive IIR structure for sinusoidal enhancement, frequency estimation, and detection.

Don R. Hush, Nasir Ahmed, Ruth David, Samuel D. Stearns

IEEE Trans. Acoust. Speech Signal Process., 1986

1985

Detection and identification of sinusoids in broadband noise via a parallel recursive ALE.

Don R. Hush, Nasir Ahmed

Proceedings of the IEEE International Conference on Acoustics, 1985

1984

Detection of multiple sinusoids using an adaptive cascaded structure.

Nasir Ahmed, Don R. Hush, G. R. Elliott, R. Joseph Fogler

Proceedings of the IEEE International Conference on Acoustics, 1984