[HTML][HTML] Propagation kernels: efficient graph kernels from propagated information
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …
Propagation kernels: efficient graph kernels from propagated information.
M Neumann, R Garnett, C Bauckhage… - Machine …, 2016 - search.ebscohost.com
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …
Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting - Machine Learning, 2016 - infona.pl
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …
[引用][C] Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting - Machine Learning, 2015 - cir.nii.ac.jp
Propagation kernels: efficient graph kernels from propagated information | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
[PDF][PDF] Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting - 2015 - researchgate.net
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …
Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting - Machine Learning, 2016 - dl.acm.org
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …
Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage… - Machine …, 2016 - search.proquest.com
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …
[PDF][PDF] Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting - Mach Learn, 2016 - cse.wustl.edu
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …
Propagation kernels: Efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting - 2016 - publica.fraunhofer.de
We introduce propagation kernels, a general graph-kernel framework for efficiently
measuring the similarity of structured data. Propagation kernels are based on monitoring …
measuring the similarity of structured data. Propagation kernels are based on monitoring …