Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Kenichi Kurihara
Graph Mining With Variational Dirichlet Process Mixture Models
Related publications
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
Journal of Computer Science and Technology
Hardware
Computer Science Applications
Architecture
Mathematics
Computational Theory
Theoretical Computer Science
Software
Variational Learning for Gaussian Mixture Models
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
Models Beyond the Dirichlet Process
SSRN Electronic Journal
Variational Bayesian Mixture of Robust CCA Models
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
iSubgraph: Integrative Genomics for Subgroup Discovery in Hepatocellular Carcinoma Using Graph Mining and Mixture Models
PLoS ONE
Multidisciplinary
Online Variational Inference for State-Space Models With Point-Process Observations
Neural Computation
Arts
Cognitive Neuroscience
Humanities
Semi-Supervised Graph Rewiring With the Dirichlet Principle
Non-Parametric Genetic Prediction of Complex Traits With Latent Dirichlet Process Regression Models
Nature Communications
Astronomy
Genetics
Molecular Biology
Biochemistry
Chemistry
Physics
Explaining Mixture Models Through Semantic Pattern Mining and Banded Matrix Visualization
Machine Learning
Artificial Intelligence
Software
