296 search results - page 28 / 60 » How to process uncertainty in machine learning |
127
click to vote
NIPS
2008
15 years 4 months ago
2008
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
147
click to vote
ACML
2009
Springer
15 years 10 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
148
Voted
ICML
1998
IEEE
16 years 4 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
136
click to vote
ICMLA
2009
15 years 1 months ago
2009
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
ICALT
2006
IEEE
15 years 9 months ago
2006
IEEE
The use of patterns in e-learning is being recently proposed with different purposes and scopes. This paper provides a unifying view of several representative proposals in order t...