서포트 벡터 머신 순차적으로 최소한의 최적화 알고리즘을 논문의 큰 숫자 (순차 최소한의 최적화) 정보 (SVM)! SVM 알고리즘에 대한 병렬 알고리즘을 개발하는 데 사용될 수있습니다!




File list:
svm_mapreduce
............\chunking
............\........\making large ssale svm learning practical.ps
............\........\............................................\joachims_99a.log
............\........\............................................\joachims_99a.pdf
............\........\............................................\joachims_99a.ps
............\........\bit reduction svm.pdf
............\........\chunking with svm.pdf
............\........\distributed svm learning and support vctor reduction.pdf
............\........\double chunking for solving svms for very large datasets.pdf
............\ieee_smo_reg.ps
............\...............\ieee_smo_reg.log
............\...............\ieee_smo_reg.pdf
............\...............\ieee_smo_reg.ps
............\An improved training algorithm for svm 1997.pdf
............\CSD-04-1307.pdf
............\dm04_012boleyd.pdf
............\Fast kernel learning using smo8.27.pdf
............\fast training of structured svm using fixed-threshold SMO 8.27.pdf
............\good paper.pdf
............\good paper2.pdf
............\HadoopMapreduce.pdf
............\ICPR_SVM.pdf
............\improvements to platts smo algorithm.pdf
............\lssvmsmo_nc_keerthi_03.pdf
............\ManjrasoftAnekaFlyer-LifeScienceSector.pdf
............\Max-margin learning Gaussian Mixtures with smo8.27.pdf
............\parallel.computing.berkeley.EECS-2006-183.pdf
............\potsmo.pdf
............\skm_icml.pdf
............\smo-book.pdf
............\smo-mapreduce.pdf
............\smo.pdf
............\smo1.pdf
............\smoTR.pdf
............\smo_mod.pdf
............\using analytic QP and sparseness to speed training of svm 8.27.pdf