代码搜索:PD协议

找到约 10,000 项符合「PD协议」的源代码

代码结果 10,000
www.eeworm.com/read/460435/7250528

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <
www.eeworm.com/read/450608/7480156

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <
www.eeworm.com/read/441245/7672738

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <
www.eeworm.com/read/137160/13341950

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <
www.eeworm.com/read/314653/13562284

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <
www.eeworm.com/read/303580/13812290

spull_load

#!/bin/sh module="spull" device="pd" group="wheel" mode="664" # invoke insmod with all arguments we got /sbin/insmod -f $module $* || exit 1 major=`cat /proc/devices | awk "\\$2==\"$module\" {print
www.eeworm.com/read/135955/5876082

spull_load

#!/bin/sh module="spull" device="pd" group="wheel" mode="664" # invoke insmod with all arguments we got /sbin/insmod -f $module $* || exit 1 major=`cat /proc/devices | awk "\\$2==\"$module\" {print
www.eeworm.com/read/133703/5903308

spull_load

#!/bin/sh module="spull" device="pd" group="wheel" mode="664" # invoke insmod with all arguments we got /sbin/insmod -f $module $* || exit 1 major=`cat /proc/devices | awk "\\$2==\"$module\" {print
www.eeworm.com/read/493294/6400013

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <
www.eeworm.com/read/400577/11572702

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <