386 search results - page 59 / 78 » Learning Network Topology from Simple Sensor Data |
MOBISYS
2007
ACM
14 years 6 months ago
2007
ACM
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
ICDAR
2003
IEEE
14 years 1 days ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
BMCBI
2008
13 years 6 months ago
2008
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
PPSN
2004
Springer
14 years 3 days ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...