We analyze the epistemic uncertainty (EU) of supervised learning in Baye...
Bayesian model averaging, obtained as the expectation of a likelihood
fu...
The understanding of sensor data has been greatly improved by advanced d...
We propose a supervised anomaly detection method for data with inexact
a...
Predicting when and where events will occur in cities, like taxi pick-up...
A temporal point process is a mathematical model for a time series of
di...
Appropriate traffic regulations, e.g. planned road closure, are importan...
We propose an unsupervised object matching method for relational data, w...
We propose a method for maximizing a partial area under a receiver opera...
In this paper, we propose imitation networks, a simple but effective met...
Supernovae Type-Ia (SNeIa) play a significant role in exploring the hist...
Factorization machines and polynomial networks are supervised polynomial...
Polynomial networks and factorization machines are two recently-proposed...
Factorization machines (FMs) are a supervised learning approach that can...