ResearchTrend.AI
Probabilistic Logic Programming with Beta-Distributed Random Variables
v1v2v3 (latest)

Probabilistic Logic Programming with Beta-Distributed Random Variables

Federico Cerutti
Lance M. Kaplan
Angelika Kimmig
Murat Sensoy
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Logic Programming with Beta-Distributed Random Variables"

3 / 3 papers shown
Title
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OODUQCVEDLBDL
188
1,002
0
05 Jun 2018
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
138
1,909
0
10 Jan 2013
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
Taisuke Sato
Yoshitaka Kameya
84
294
0
09 Jun 2011

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.