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» Generating Better Decision Trees
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AAAI
1996
13 years 10 months ago
Bagging, Boosting, and C4.5
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
J. Ross Quinlan
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
14 years 17 days ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
KDD
1994
ACM
116views Data Mining» more  KDD 1994»
14 years 1 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines
GRAPHICSINTERFACE
1997
13 years 10 months ago
A Heuristic Method for Generating 2D CSG Trees from Bitmaps
This paper presents a method for generating compact and effective constructive-solid-geometry (CSG) object representations from 2D bitmap representations. The method consists of t...
Sarah F. Frisken Gibson, Joe Marks, Danielle Feinb...
NIPS
2004
13 years 10 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek