296 search results - page 13 / 60 » How to process uncertainty in machine learning |
HRI
2010
ACM
14 years 2 months ago
2010
ACM
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
ICML
1996
IEEE
14 years 9 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
ICALT
2005
IEEE
14 years 2 months ago
2005
IEEE
The Internet breaks the limitations of time and space and provides a flexible platform for learning. Learning is a two-way communication and interactivity is a process to enhance ...