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» CLOUDS: A Decision Tree Classifier for Large Datasets
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ICML
1999
IEEE
15 years 10 months ago
The Alternating Decision Tree Learning Algorithm
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...
Yoav Freund, Llew Mason
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
15 years 10 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
VMV
2008
107views Visualization» more  VMV 2008»
14 years 11 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
ADC
2003
Springer
153views Database» more  ADC 2003»
15 years 3 months ago
Automated Discovery of Search Interfaces on the Web
Web search engines work well for finding crawlable pages, but not for finding datasets hidden behind Web search forms. We describe a novel technique for detecting search forms, ...
Jared Cope, Nick Craswell, David Hawking
DIS
2006
Springer
15 years 1 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...