1405 search results - page 55 / 281 » Learning Instance-Specific Predictive Models |
JMS
2010
13 years 7 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 ...
IROS
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
DAGM
2004
Springer
14 years 2 months ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
IJCAI
1993
13 years 10 months ago
1993
In this paper we present a technique for automatically generating constraints on parameter derivatives that reduce ambiguity in the behaviour prediction. Starting with a behaviour...
SOFSEM
1999
Springer
14 years 1 months ago
1999
Springer
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...