419 search results - page 59 / 84 » Using Bayesian Networks for Cleansing Trauma Data |
111
Voted
ISORC
2000
IEEE
15 years 7 months ago
2000
IEEE
This paper documents progress to date on a research project, the goal of which is wartime event prediction. The paper describes the operational concept, the datamining environment...
106
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PERVASIVE
2009
Springer
15 years 9 months ago
2009
Springer
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
135
Voted
ICIP
2001
IEEE
16 years 4 months ago
2001
IEEE
Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and ...
114
Voted
KDD
2003
ACM
16 years 2 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...
116
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...