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Showing 10 out of a total of 11 results.
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Low default credit scoring using two-class non-parametric kernel density estimation
Rademeyer, E
;
Van der Walt, Christiaan M
;
De Waal, A
(
IEEE
,
2016-12
)
Variable kernel density estimation in high-dimensional feature spaces
Van der Walt, Christiaan M
;
Barnard, E
(
Association for the Advancement of Artificial
,
2017-02
)
Optimizing tree-species classification in hyperspectal images
Barnard, E
;
Cho, Moses A
;
Debba, Pravesh
;
Mathieu, Renaud SA
;
Wessels, Konrad J
;
van Heerden, C
;
Van der Walt, Christiaan M
;
Asner, GP
(
PRASA 2010
,
2010-11
)
m-Living Labs, A framework for collaborative community advancement
Buitendag, A
;
Roux, L
;
Botha, Adèle
;
Herselman, Martha E
;
Van der Walt, J
(
IIMC (International Information Management Corporation)
,
2012-05
)
Validation of the AGDISP model for predicting airborne atrazine spray drift: a South African ground application case study
Nsibande, SA
;
Dabrowski, James M
;
van der Walt, E
;
Venter, A
;
Forbes, PBC
(
Elsevier
,
2015-06
)
Kernel bandwidth estimation for non-parametric density estimation: a comparative study
Van der Walt, CM
;
Barnard, E
(
PRASA 2013 Proceedings
,
2013-12
)
Data characteristics that determine classifier performance
Van der Walt, Christiaan M
;
Barnard, E
(
2006-11
)
Density estimation from local structure
Van der Walt, Christiaan M
;
Barnard, E
(
PRASA
,
2009-11
)
Learning structured representations of data
Barnard, E
;
Van der Walt, Christiaan M
;
Davel, M
;
Van Heerden, C
;
Senekal, FP
;
Naidoo, T
(
PRASA
,
2009-11
)
Measures for the characterisation of pattern-recognition data sets
Van der Walt, Christiaan M
;
Barnard, E
(
18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA)
,
2007-11
)
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