Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting

Author:

Zhu Zonghai,Wang ZheORCID,Li Dongdong,Du WenliORCID,Zhou Yangming

Funder

Natural Science Foundation of China

Shanghai Education Development Foundation

Shanghai Municipal Education Commission

Natural Science Foundations of China

National Science Foundation of China

National Major Scientific and Technological Special Project

Special Fund Project for Shanghai Informatization Development in Big Data

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference49 articles.

1. Easymkl: a scalable multiple kernel learning algorithm;Aiolli;Neurocomputing,2015

2. Consistency of the group lasso and multiple kernel learning;Bach;Journal of Machine Learning Research (JMLR),2007

3. Multiple kernel learning for visual object recognition: A review;Bucak;IEEE Transactions on Pattern Analysis and Machine Intelligence,2014

4. Insight: Efficient and effective instance selection for time-series classification;Buza,2011

5. Learning non-linear combinations of kernels;Cortes,2009

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Gravitation balanced multiple kernel learning for imbalanced classification;Neural Computing and Applications;2022-04-08

2. Randomized sketches for kernel CCA;Neural Networks;2020-07

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