Mark A. Kon

According to our database1, Mark A. Kon authored at least 29 papers between 1989 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Interpolatory filter banks and interpolatory wavelet packets.
J. Comput. Appl. Math., 2020

2019
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder.
CoRR, 2019

2017
Wavelet sampling and generalization in neural networks.
Neurocomputing, 2017

Comparisons of cancer classifiers based on RNA_seq and miRNA_seq.
Int. J. Data Min. Bioinform., 2017

2016
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.
Sensors, 2016

Some comparisons of gene expression classifiers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
On Relating Interpolatory Wavelets to Interpolatory Scaling Functions in Multiresolution Analyses.
Circuits Syst. Signal Process., 2015

2014
Cancer survival classification using integrated data sets and intermediate information.
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.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

2013
Computational methods for cancer survival classification using intermediate information.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

2012
On Some Integrated Approaches to Inference
CoRR, 2012

2011
Top Scoring Pairs for Feature Selection in Machine Learning and Applications to Cancer Outcome Prediction.
BMC Bioinform., 2011

Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
Smoothing Gene Expression Using Biological Networks.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2008
Ensemble Machine Methods for DNA Binding.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Learning Methods for DNA Binding in Computational Biology.
Proceedings of the International Joint Conference on Neural Networks, 2007

SVMotif: A Machine Learning Motif Algorithm.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006
Machine learning methods for transcription data integration.
IBM J. Res. Dev., 2006

2005
Information-based nonlinear approximation: an average case setting.
J. Complex., 2005

Machine Learning and Statistical MAP Methods.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Statistical Likelihood Representations of Prior Knowledge in Machine Learning.
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.
J. Complex., 2001

2000
Information complexity of neural networks.
Neural Networks, 2000

1994
On the delta->0 Limit in Probabilistic Complexity.
J. Complex., 1994

1991
Linearity of algorithms and a result of Ando.
J. Complex., 1991

On the average case solvability of III-posed problems.
J. Complex., 1991

On the Almost Sure Limit of Probabilistic Recovery.
Proceedings of the Curves and Surfaces, 1991

1989
On linearity of spline algorithms.
J. Complex., 1989

On the adaptive and continuous information problems.
J. Complex., 1989


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