文件名称:multi-kernel-path-1.0
介绍说明--下载内容均来自于网络,请自行研究使用
c++实现多核学习mkl,效率较高,实现了mkl功能(C++ implementation of multi-core learning MKL, the efficiency is high, and the MKL function is realized.)
相关搜索: 多核学习
(系统自动生成,下载前可以参看下载内容)
下载文件列表
multi-kernel-path-1.0\all_derivatives.m
multi-kernel-path-1.0\boston.mat
multi-kernel-path-1.0\build_efficient_Ks.asv
multi-kernel-path-1.0\build_efficient_Ks.m
multi-kernel-path-1.0\build_efficient_Ks_test.m
multi-kernel-path-1.0\compute_ds.asv
multi-kernel-path-1.0\compute_ds.m
multi-kernel-path-1.0\compute_newlambda2.m
multi-kernel-path-1.0\create_path_kernel_matrices.asv
multi-kernel-path-1.0\create_path_kernel_matrices.m
multi-kernel-path-1.0\cv_general_script.m
multi-kernel-path-1.0\demo_script_1.m
multi-kernel-path-1.0\demo_script_2.m
multi-kernel-path-1.0\demo_script_3.asv
multi-kernel-path-1.0\demo_script_3.m
multi-kernel-path-1.0\devectorize.c
multi-kernel-path-1.0\devectorize.dll
multi-kernel-path-1.0\follow_entire_path.asv
multi-kernel-path-1.0\follow_entire_path.m
multi-kernel-path-1.0\generate_random_problem.asv
multi-kernel-path-1.0\generate_random_problem.m
multi-kernel-path-1.0\ionosphere.mat
multi-kernel-path-1.0\kernel_operation.m
multi-kernel-path-1.0\kernel_operation_test.m
multi-kernel-path-1.0\liver.mat
multi-kernel-path-1.0\newton_method.m
multi-kernel-path-1.0\objective_function.m
multi-kernel-path-1.0\predictor_step.m
multi-kernel-path-1.0\problem_type.m
multi-kernel-path-1.0\psi1_loss.m
multi-kernel-path-1.0\psi2_loss.m
multi-kernel-path-1.0\psi3_loss.m
multi-kernel-path-1.0\psi_loss.m
multi-kernel-path-1.0\readme.txt
multi-kernel-path-1.0\sqdist.m
multi-kernel-path-1.0\symmetric_vectorize.c
multi-kernel-path-1.0\symmetric_vectorize.dll
multi-kernel-path-1.0\target.m
multi-kernel-path-1.0\vectorize_product.c
multi-kernel-path-1.0\vectorize_product.dll
multi-kernel-path-1.0
multi-kernel-path-1.0\boston.mat
multi-kernel-path-1.0\build_efficient_Ks.asv
multi-kernel-path-1.0\build_efficient_Ks.m
multi-kernel-path-1.0\build_efficient_Ks_test.m
multi-kernel-path-1.0\compute_ds.asv
multi-kernel-path-1.0\compute_ds.m
multi-kernel-path-1.0\compute_newlambda2.m
multi-kernel-path-1.0\create_path_kernel_matrices.asv
multi-kernel-path-1.0\create_path_kernel_matrices.m
multi-kernel-path-1.0\cv_general_script.m
multi-kernel-path-1.0\demo_script_1.m
multi-kernel-path-1.0\demo_script_2.m
multi-kernel-path-1.0\demo_script_3.asv
multi-kernel-path-1.0\demo_script_3.m
multi-kernel-path-1.0\devectorize.c
multi-kernel-path-1.0\devectorize.dll
multi-kernel-path-1.0\follow_entire_path.asv
multi-kernel-path-1.0\follow_entire_path.m
multi-kernel-path-1.0\generate_random_problem.asv
multi-kernel-path-1.0\generate_random_problem.m
multi-kernel-path-1.0\ionosphere.mat
multi-kernel-path-1.0\kernel_operation.m
multi-kernel-path-1.0\kernel_operation_test.m
multi-kernel-path-1.0\liver.mat
multi-kernel-path-1.0\newton_method.m
multi-kernel-path-1.0\objective_function.m
multi-kernel-path-1.0\predictor_step.m
multi-kernel-path-1.0\problem_type.m
multi-kernel-path-1.0\psi1_loss.m
multi-kernel-path-1.0\psi2_loss.m
multi-kernel-path-1.0\psi3_loss.m
multi-kernel-path-1.0\psi_loss.m
multi-kernel-path-1.0\readme.txt
multi-kernel-path-1.0\sqdist.m
multi-kernel-path-1.0\symmetric_vectorize.c
multi-kernel-path-1.0\symmetric_vectorize.dll
multi-kernel-path-1.0\target.m
multi-kernel-path-1.0\vectorize_product.c
multi-kernel-path-1.0\vectorize_product.dll
multi-kernel-path-1.0