Mark A. Kon

According to our database, Mark A. Kon authored at least 44 papers between 1989 and 2024.

Collaborative distances:

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

2024

Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records.

Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás

IEEE Trans. Big Data, April, 2024

Feature Network Methods in Machine Learning and Applications.

Xinying Mu, Mark A. Kon

CoRR, 2024

2023

Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains.

Trevor Norton, Jie Xu, Brian Choi, Mark A. Kon, Julio Enrique Castrillón-Candás

CoRR, 2023

Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation.

Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás

CoRR, 2023

2022

Anomaly detection: A functional analysis perspective.

Julio Enrique Castrillón-Candás, Mark A. Kon

J. Multivar. Anal., 2022

Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder.

Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon

Entropy, 2022

Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection.

Julio Enrique Castrillón-Candás, Mark A. Kon

CoRR, 2022

Wavelet matrix operations and quantum transforms.

Zhiguo Zhang, Mark A. Kon

Appl. Math. Comput., 2022

2021

Stochastic functional analysis with applications to robust machine learning.

Julio Enrique Castrillón-Candás, Dingning Liu, Mark A. Kon

CoRR, 2021

Existence of Strong Solution for the Complexified Non-linear Poisson Boltzmann Equation.

Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás

CoRR, 2021

2020

General methods and properties to evaluate continuum limits of the 1D discrete time quantum walk.

Michael Manighalam, Mark A. Kon

Quantum Inf. Process., 2020

Interpolatory filter banks and interpolatory wavelet packets.

Zhiguo Zhang, Mark A. Kon

J. Comput. Appl. Math., 2020

Analytic regularity and stochastic collocation of high-dimensional Newton iterates.

Julio Enrique Castrillón-Candás, Mark A. Kon

Adv. Comput. Math., 2020

2019

Bifurcation Curves of Two-Dimensional Quantum Walks.

Parker Kuklinski, Mark A. Kon

CoRR, 2019

2018

Absorption probabilities of quantum walks.

Parker Kuklinski, Mark A. Kon

Quantum Inf. Process., 2018

2017

Wavelet sampling and generalization in neural networks.

Zhiguo Zhang, Mark A. Kon

Neurocomputing, 2017

Comparisons of cancer classifiers based on RNA_seq and miRNA_seq.

Shinuk Kim, Hyowon Lee, Mark A. Kon

Int. J. Data Min. Bioinform., 2017

2016

Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.

Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski

Sensors, 2016

Differentiation and Integration of Machine Learning Feature Vectors.

Xinying Mu, Ana Brândusa Pavel, Mark A. Kon

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Some comparisons of gene expression classifiers.

Shinuk Kim, Mark A. Kon, Hyowon Lee

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

On Relating Interpolatory Wavelets to Interpolatory Scaling Functions in Multiresolution Analyses.

Zhiguo Zhang, Mark A. Kon

Circuits Syst. Signal Process., 2015

Class Discovery via Bimodal Feature Selection in Unsupervised Settings.

Jessica Curtis, Mark A. Kon

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Cancer survival classification using integrated data sets and intermediate information.

Shinuk Kim, Taesung Park, Mark A. Kon

Artif. Intell. Medicine, 2014

Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients.

Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski

Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

2013

Computational methods for cancer survival classification using intermediate information.

Shinuk Kim, Taesung Park, Mark A. Kon

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

2012

On Some Integrated Approaches to Inference

Mark A. Kon, Leszek Plaskota

CoRR, 2012

2011

Top Scoring Pairs for Feature Selection in Machine Learning and Applications to Cancer Outcome Prediction.

Ping Shi, Surajit Ray, Qifu Zhu, Mark A. Kon

BMC Bioinform., 2011

Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes.

Mark A. Kon, Nikolay Nikolaev

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Smoothing Gene Expression Using Biological Networks.

Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2008

Ensemble Machine Methods for DNA Binding.

Yue Fan, Mark A. Kon, Charles DeLisi

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

Learning Methods for DNA Binding in Computational Biology.

Mark A. Kon, Dustin T. Holloway, Yue Fan, Chaitanya Sai, Charles DeLisi

Proceedings of the International Joint Conference on Neural Networks, 2007

SVMotif: A Machine Learning Motif Algorithm.

Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles DeLisi

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006

Machine learning methods for transcription data integration.

Dustin T. Holloway, Mark A. Kon, Charles DeLisi

IBM J. Res. Dev., 2006

2005

Information-based nonlinear approximation: an average case setting.

Mark A. Kon, Leszek Plaskota

J. Complex., 2005

Machine Learning and Statistical MAP Methods.

Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski

Proceedings of the Intelligent Information Processing and Web Mining, 2005

Statistical Likelihood Representations of Prior Knowledge in Machine Learning.

Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2001

Complexity of Neural Network Approximation with Limited Information: A Worst Case Approach.

Mark A. Kon, Leszek Plaskota

J. Complex., 2001

2000

Information complexity of neural networks.

Mark A. Kon, Leszek Plaskota

Neural Networks, 2000

1994

On the delta->0 Limit in Probabilistic Complexity.

Mark A. Kon

J. Complex., 1994

1991

Linearity of algorithms and a result of Ando.

Mark A. Kon, Roberto Tempo

J. Complex., 1991

On the average case solvability of III-posed problems.

Mark A. Kon, Klaus Ritter, Arthur G. Werschulz

J. Complex., 1991

On the Almost Sure Limit of Probabilistic Recovery.

Mark A. Kon

Proceedings of the Curves and Surfaces, 1991

1989

On linearity of spline algorithms.

Mark A. Kon, Roberto Tempo

J. Complex., 1989

On the adaptive and continuous information problems.

Mark A. Kon, Erich Novak

J. Complex., 1989