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» Building predictors from vertically distributed data
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165
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HPCC
2005
Springer
15 years 10 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 9 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»
15 years 4 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
15 years 6 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
154
Voted
VLDB
1998
ACM
120views Database» more  VLDB 1998»
15 years 9 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