135 search results - page 13 / 27 » Improving Multi-Step Prediction of Learned Time Series Model... |
JMS
2010
13 years 6 months ago
2010
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
KDD
2009
ACM
14 years 2 days ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
ACMICEC
2008
ACM
13 years 9 months ago
2008
ACM
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...