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» An Application of Boosting to Graph Classification
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VEE
2012
ACM
187views Virtualization» more  VEE 2012»
12 years 3 months ago
DDGacc: boosting dynamic DDG-based binary optimizations through specialized hardware support
Dynamic Binary Translators (DBT) and Dynamic Binary Optimization (DBO) by software are used widely for several reasons including performance, design simplification and virtualiza...
Demos Pavlou, Enric Gibert, Fernando Latorre, Anto...
ICPR
2004
IEEE
14 years 8 months ago
Facial Image Retrieval Based on Demographic Classification
In this paper we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includ...
Bo Wu, Chang Huang, Haizhou Ai
KDD
1997
ACM
103views Data Mining» more  KDD 1997»
13 years 11 months ago
Fast Committee Machines for Regression and Classification
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...
Harris Drucker
KES
2007
Springer
14 years 1 months ago
Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...
Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi R...
ACL
2006
13 years 8 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan