Results 231 to 240 of about 844,277 (275)
Some of the next articles are maybe not open access.
2013
The kernel method was originally invented in Aizerman et al. (Autom. Remote Control, 25, 821–837, 1964). The key idea is to project the training set in a lower-dimensional space into a high-dimensional kernel (feature) space by means of a set of nonlinear kernel functions.
Ke-Lin Du, M. N. S. Swamy
openaire +1 more source
The kernel method was originally invented in Aizerman et al. (Autom. Remote Control, 25, 821–837, 1964). The key idea is to project the training set in a lower-dimensional space into a high-dimensional kernel (feature) space by means of a set of nonlinear kernel functions.
Ke-Lin Du, M. N. S. Swamy
openaire +1 more source
IFAC Proceedings Volumes, 2003
Abstract A disadvantage of many statistical modelling techniques is that the resulting model is extremely difficult to interpret. A number of new concepts and algorithms have been introduced by researchers to address this problem. They focus primarily on determining which inputs arc relevant in predicting the output. This work describes a transparent,
openaire +1 more source
Abstract A disadvantage of many statistical modelling techniques is that the resulting model is extremely difficult to interpret. A number of new concepts and algorithms have been introduced by researchers to address this problem. They focus primarily on determining which inputs arc relevant in predicting the output. This work describes a transparent,
openaire +1 more source
Contrastive Multi-View Kernel Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Jiyuan Liu, Xinwang Liu, Yuanqing Xia
exaly
Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering
IEEE Transactions on Neural Networks and Learning Systems, 2021Zhenwen Ren, Quansen Sun
exaly