225 search results - page 29 / 45 » On Learning Decision Trees with Large Output Domains |
CVPR
1998
IEEE
14 years 11 months ago
1998
IEEE
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
IDA
2008
Springer
13 years 9 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
SBRN
2008
IEEE
14 years 3 months ago
2008
IEEE
In automated multi-label text categorization, an automatic categorization system should output a category set, whose size is unknown a priori, for each document under analysis. Ma...
ML
2006
ACM
13 years 9 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
ESANN
2007
13 years 10 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...