Amanote Research

Amanote Research

    RegisterSign In

Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities

doi 10.1137/1.9781611974973.72
Full Text
Open PDF
Abstract

Available in full text

Date

June 9, 2017

Authors
Yao ZhangYun XiongXinyue LiuXiangnan KongYangyong Zhu
Publisher

Society for Industrial and Applied Mathematics


Related search

Kernel Integration by Graphical LASSO

2020English

Conditional Graphical Lasso for Multi-Label Image Classification

2016English

Meta Path-Based Collective Classification in Heterogeneous Information Networks

2012English

Meta-Path-Based Search and Mining in Heterogeneous Information Networks

Tsinghua Science and Technology
Multidisciplinary
2013English

Regularized Estimation of Piecewise Constant Gaussian Graphical Models: The Group-Fused Graphical Lasso

Journal of Computational and Graphical Statistics
CombinatoricsUncertaintyStatisticsProbabilityDiscrete Mathematics
2017English

Graph Regularized Meta-Path Based Transductive Regression in Heterogeneous Information Network

2015English

Operations for Learning With Graphical Models

Journal of Artificial Intelligence Research
Artificial Intelligence
1994English

Learning Graphical Models for Hypothesis Testing

2007English

Incorporating Prior Biological Knowledge for Network-Based Differential Gene Expression Analysis Using Differentially Weighted Graphical LASSO

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy