60 search results - page 6 / 12 » Inferencing Bayesian Networks from Time Series Data Using Na... |
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
NCA
2002
IEEE
13 years 7 months ago
2002
IEEE
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
NOMS
2006
IEEE
14 years 1 months ago
2006
IEEE
—This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...