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ML
2000
ACM
185views Machine Learning» more  ML 2000»
15 years 6 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
ML
2002
ACM
123views Machine Learning» more  ML 2002»
15 years 6 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
GIS
2010
ACM
15 years 5 months ago
Bridge detection in grid terrains and improved drainage enforcement
Bare Earth gridded digital elevation models (DEMs) are often used to extract hydrologic features such as rivers and watersheds. DEMs must be conditioned by removing spurious sinks...
Ryan Carlson, Andrew Danner
GIS
2010
ACM
15 years 5 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
ICMLC
2010
Springer
15 years 5 months ago
An integrity-based fuzzy c-means method resolving cluster size sensitivity problem
: Cluster size insensitive FCM (csiFCM) dynamically adjusts the membership value of each object based on the size of the cluster to which it is assigned after defuzzification to re...
Y. H. Lai, P. W. Huang, P. L. Lin
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