4773 search results - page 149 / 955 » Learning from Uncertain Data |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
ICPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...
IJCAI
1997
13 years 11 months ago
1997
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
TSD
2010
Springer
13 years 8 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
AAAI
2008
14 years 20 days ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...