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» Efficient Kernel-based Learning for Trees
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ECCV
2008
Springer
15 years 11 months ago
Implementing Decision Trees and Forests on a GPU
We describe a method for implementing the evaluation and training of decision trees and forests entirely on a GPU, and show how this method can be used in the context of object rec...
Toby Sharp
IJON
2006
146views more  IJON 2006»
14 years 9 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
101
Voted
AI
2006
Springer
14 years 9 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
TMA
2010
Springer
137views Management» more  TMA 2010»
14 years 7 months ago
K-Dimensional Trees for Continuous Traffic Classification
Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...
Valentín Carela-Español, Pere Barlet...
ICIP
2007
IEEE
15 years 1 months ago
H.263 to H.264 Transconding using Data Mining
1 In this paper, we propose the use of data mining algorithms to create a macroblock partition mode decision algorithm for inter-frame prediction, to be used as part of a high-effi...
Gerardo Fernández-Escribano, Jens Bialkowsk...