Sign Up to like & get
recommendations!
0
Published in 2018 at "Machine Learning"
DOI: 10.1007/s10994-018-5760-y
Abstract: Sum-Product Networks (SPNs) are deep tractable probabilistic models by which several kinds of inference queries can be answered exactly and in a tractable time. They have been largely used as black box density estimators, assessed…
read more here.
Keywords:
understanding sum;
sum product;
product networks;
visualizing understanding ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac184
Abstract: OBJECTIVE Privacy is a concern whenever individual patient health data is exchanged for scientific research. We propose using mixed sum-product networks (MSPNs) as private representations of data and take samples from the network to generate…
read more here.
Keywords:
health;
synthetic data;
mixed discrete;
sum product ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.96.042216
Abstract: The present study investigates amplitude death in Cartesian product networks of two subnetworks, where each subnetwork has a different coupling delay. The property of the Cartesian product helps us to analyze the stability of amplitude…
read more here.
Keywords:
death;
cartesian product;
product networks;
death cartesian ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2017 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2016.2618381
Abstract: One of the central themes in Sum-Product networks (SPNs) is the interpretation of sum nodes as marginalized latent variables (LVs). This interpretation yields an increased syntactic or semantic structure, allows the application of the EM…
read more here.
Keywords:
sum product;
interpretation sum;
interpretation;
product networks ... See more keywords