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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 5 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
ICTAI
2010
IEEE
14 years 12 months ago
Instance-Based Ensemble Pruning via Multi-Label Classification
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis...
WEBNET
2001
15 years 3 months ago
Making Sense of Search Results by Automatic Web-page Classifications
: This paper reports the development of a system for automatically organizing Internet web pages into meaningful categories. The aim of the system is to allow Internet users to fin...
Ben Choi
ICASSP
2010
IEEE
15 years 2 months ago
High precision frequency estimation for harpsichord tuning classification
We present a novel music signal processing task of classifying the tuning of a harpsichord from audio recordings of standard musical works. We report the results of a classificat...
Dan Tidhar, Matthias Mauch, Simon Dixon
CVPR
2008
IEEE
16 years 4 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila