代码搜索：optimisation
找到约 403 项符合「optimisation」的源代码
代码结果 403
www.eeworm.com/read/13911/286927
m smosvctutor.m
function tutor = smosvctutor(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%
www.eeworm.com/read/436018/1857504
makefile
RM := rm -rf
# Set the optimisation level - this should be set to 0, 1, 2, 3 or s (s for size).
OPTIM=s
###############################################################################
# List t
www.eeworm.com/read/436018/1857789
makefile
RM := rm -rf
# Set the optimisation level - this should be set to 0, 1, 2, 3 or s (s for size).
OPTIM=0
###############################################################################
# List t
www.eeworm.com/read/411379/2188990
m smosvctutor.m
function tutor = smosvctutor(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%
www.eeworm.com/read/398510/2378417
makefile
RM := rm -rf
# Set the optimisation level - this should be set to 0, 1, 2, 3 or s (s for size).
OPTIM=s
###############################################################################
# List t
www.eeworm.com/read/398510/2378702
makefile
RM := rm -rf
# Set the optimisation level - this should be set to 0, 1, 2, 3 or s (s for size).
OPTIM=0
###############################################################################
# List t
www.eeworm.com/read/111603/15509356
m smosvctutor.m
function tutor = smosvctutor(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%
www.eeworm.com/read/431675/8661850
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,h,e] = parzenc(A)
%
% Computation of the optimum smoothing parameter h for the Parzen
% classifier between the classes in the dataset A. The l
www.eeworm.com/read/418695/10935254
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,h,e] = parzenc(A)
%
% Computation of the optimum smoothing parameter h for the Parzen
% classifier between the classes in the dataset A. The l
www.eeworm.com/read/397102/8068047
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,h,e] = parzenc(A)
%
% Computation of the optimum smoothing parameter h for the Parzen
% classifier between the classes in the dataset A. The l