Charles C. Taylor

According to our database, Charles C. Taylor authored at least 22 papers between 1992 and 2024.

Collaborative distances:

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

2024

Bayesian CART models for aggregate claim modeling.

Yaojun Zhang, Lanpeng Ji, Georgios Aivaliotis, Charles C. Taylor

CoRR, 2024

2022

Sparse modelling of cancer patients' survival based on genomic copy number alterations.

Khaled Alqahtani, Charles C. Taylor, Henry M. Wood, Arief Gusnanto

J. Biomed. Informatics, 2022

2021

Cross-validation is safe to use.

Ross D. King, Oghenejokpeme I. Orhobor, Charles C. Taylor

Nat. Mach. Intell., 2021

Interval forecasts based on regression trees for streaming data.

Xin Zhao, Stuart Barber, Charles C. Taylor, Zoka Milan

Adv. Data Anal. Classif., 2021

2018

Classification tree methods for panel data using wavelet-transformed time series.

Xin Zhao, Stuart Barber, Charles C. Taylor, Zoka Milan

Comput. Stat. Data Anal., 2018

A New Approach to Measuring Distances in Dense Graphs.

Fatimah A. Almulhim, Peter A. Thwaites, Charles C. Taylor

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2014

Estimating optimal window size for analysis of low-coverage next-generation sequence data.

Arief Gusnanto, Charles C. Taylor, Ibrahim Nafisah, Henry M. Wood, Pamela Rabbitts, Stefano Berri

Bioinform., 2014

2011

A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics.

N. Iranpanah, Mohsen Mohammadzadeh, Charles C. Taylor

Comput. Stat. Data Anal., 2011

2008

Automatic bandwidth selection for circular density estimation.

Charles C. Taylor

Comput. Stat. Data Anal., 2008

2007

Classification of type I-censored bivariate data.

Matthew J. Langdon, Charles C. Taylor, Robert M. West

Comput. Stat. Data Anal., 2007

The Poisson Index: a new probabilistic model for protein-ligand binding site similarity.

J. R. Davies, Richard M. Jackson, Kanti V. Mardia, Charles C. Taylor

Bioinform., 2007

2006

Hierarchical Bayesian modelling of spatial age-dependent mortality.

N. Miklós Arató, Ian L. Dryden, Charles C. Taylor

Comput. Stat. Data Anal., 2006

2005

On boosting kernel density methods for multivariate data: density estimation and classification.

Marco Di Marzio, Charles C. Taylor

Stat. Methods Appl., 2005

Kernel density classification and boosting: an L₂ analysis.

Marco Di Marzio, Charles C. Taylor

Stat. Comput., 2005

2004

Chain plot: a tool for exploiting bivariate temporal structures.

Charles C. Taylor, András Zempléni

Comput. Stat. Data Anal., 2004

1999

Procrustes shape analysis of triangulations of a two coloured point pattern.

Mohammed Reza Faghihi, Charles C. Taylor, Ian L. Dryden

Stat. Comput., 1999

1998

Evaluating Usefulness for Dynamic Classification.

Gholamreza Nakhaeizadeh, Charles C. Taylor, Carsten Lanquillon

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997

Learning in Dynamically Changing Domains: Theory Revision and Context Dependence Issues.

Charles C. Taylor, Gholamreza Nakhaeizadeh

Proceedings of the Machine Learning: ECML-97, 1997

Statistical Aspects of Classification in Drifting Populations.

Charles C. Taylor, Gholamreza Nakhaeizadeh, G. Kunisch

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1995

An Understanding of Muscle Fibre Images.

Charles C. Taylor, Mohammed Reza Faghihi, Ian L. Dryden

Proceedings of the Image Analysis and Processing, 8th International Conference, 1995

1994

Machine Learning, Neural and Statistical Classification

Donald Michie, David J. Spiegelhalter, Charles C. Taylor

Ellis Horwood, ISBN: 0-13-106360-X, 1994

1992

Statistical Methods in Learning.

A. Sutherland, Bob Henery, Rafael Molina, Charles C. Taylor, Ross D. King

Proceedings of the IPMU '92, 1992