3 papers
stat.ML2019
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
Namjoon Suh, Xiaoming Huo, Eric Heim +1
We propose a combined model, which integrates the latent factor model and the logistic regression model, for the citation network. It is noticed that neither a latent factor model…
cs.GR2019
Constrained Generative Adversarial Networks for Interactive Image Generation
Eric Heim
Generative Adversarial Networks (GANs) have received a great deal of attention due in part to recent success in generating original, high-quality samples from visual domains. Howev…
cs.LG2018
Exploiting Class Learnability in Noisy Data
Matthew Klawonn, Eric Heim, James Hendler
In many domains, collecting sufficient labeled training data for supervised machine learning requires easily accessible but noisy sources, such as crowdsourcing services or tagged…