( en | de | ru )

 

Disambiguation of "Webb, Geoffrey I."

Author of the publication

copydeleteadd this publication to your clipboard
A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification.

, , , and . PAKDD, volume 5476 of Lecture Notes in Computer Science, page 302-313. Springer, (2009)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Katharine Joy Webb

Molecular and cellular characterisation of neurogenesis control and addiction behaviour in zebrafish. TU München, (2009)

Uta Elisabeth Webbeler

Richard Webb

Sharon Webb

Nick Webb

 

Other publications of authors with the same name

Classifying under computational resource constraints: anytime classification using probabilistic estimators., , , and . Mach. Learn., 69 (1): 35-53 (2007)Anytime classification for a pool of instances., , and . Mach. Learn., 77 (1): 61-102 (2009)A Heuristic Lazy Bayesian Rule Algorithm., and . AusDM, page 57-64. University of Technology Sydney, Australia, (2002)ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels, , and . (2019)cite arxiv:1910.13051Comment: 27 pages, 23 figures.Early Abandoning PrunedDTW and its application to similarity search., and . CoRR, (2020)MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification, , , and . (2021)cite arxiv:2102.00457.Pruning Derivative Partial Rules During Impact Rule Discovery., and . PAKDD, volume 3518 of Lecture Notes in Computer Science, page 71-80. Springer, (2005)Finding the Real Patterns.. PAKDD, volume 4426 of Lecture Notes in Computer Science, page 6. Springer, (2007)Averaged One-Dependence Estimators., and . Encyclopedia of Machine Learning, Springer, (2010)Averaged One-Dependence Estimators., and . Encyclopedia of Machine Learning and Data Mining, Springer, (2017)