importnumpyasnpimportmatplotlib.pyplotasplt# 生成两个合成数据集np.random.seed(42)source_data=np.random.normal(0,1,100)target_data=np.random.normal(2,1,100)# 定义 Kernel Mean Matching (KMM) 函数defkmm(source_data,target_data,lambd=1.0,kernel_width=1.0,num_iterations=1000):n_source=len(so...
Kernel Mean Matching (KMM) is one of the typical instance weighting approaches which estimates the instance importance by matching the two distributions in the universal reproducing kernel Hilbert space (RKHS). However, KMM is an unsupervised learning approach which does not utilize the class label ...
Various instance weighting methods have been proposed for instance-based transfer learning. Kernel Mean Matching (KMM) is one of the typical instance weighting approaches which estimates the instance importance by matching the two distributions in the universal reproducing kernel Hilbert space (RKHS). Ho...
The Kernel Mean Matching (KMM) is an elegant algorithm that produces density ratios between training and test data by minimizing their maximum mean discrepancy in a kernel space. The applicability of KMM to large-scale problems is however hindered by the quadratic complexity of calculating and stori...
A transfer learning regression model based on Kernel Mean Matching (KMM) algorithm Written using Python, which is suitable for operating systems, e.g., Windows/Linux/MAC OS etc. Installing / 安装 pip install KMMTR Checking / 查看 pip show KMMTR Updating / 更新 pip install --upgrade KMMT...
Covariate Shift by Kernel Mean Matching 来自 ResearchGate 喜欢 0 阅读量: 218 作者:A Gretton,A.J. Smola,J. Huang,M. Schmittfull,ND Lawrence 摘要: This chapter contains sections titled: Introduction, Sample Reweighting, Distribution Matching, Risk Estimates, The Connection to Single Class Support ...
Kernel mean matching (KMM) [23] minimizes the maximum mean difference [24] and weighs the source data and target data in the reproducing kernel Hilbert space (RKHS), which can correct the inconsistent distribution between domains. As a classic instance-based adaptation method, transfer adaptive ...
kmm = KernelMeanMatching(kernel,array([0,1,2,3,7,8,9],dtype=int32),array([4,5,6],dtype=int32)) w = kmm.compute_weights()#print wreturnw 开发者ID:Argram,项目名称:shogun,代码行数:28,代码来源:statistics_kmm.py 示例4: mlprocess ...