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» Building predictors from vertically distributed data
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HPCC
2005
Springer
15 years 3 months ago
Correction of Building Height Effect Using LIDAR and GPS
Abstract. Correction of building height effects is a critical step in image interpretation from aerial imagery in urban area. In this paper, an efficient scheme to correct building...
Hong-Gyoo Sohn, Kong-Hyun Yun, Gi-Hong Kim, Hyo Su...
VLDB
1994
ACM
126views Database» more  VLDB 1994»
15 years 1 months ago
Building a Laboratory Information System Around a C++-Based Object-Oriented DBMS
MapBase is a laboratory information system that has been supporting a high-throughput genome-mapping operation for the last three years. We chose to build MapBase around a C++-bas...
Nathan Goodman, Steve Rozen, Lincoln Stein
FUIN
2000
109views more  FUIN 2000»
14 years 9 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman
AAAI
1996
14 years 10 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
VLDB
1998
ACM
120views Database» more  VLDB 1998»
15 years 1 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim