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ICANN
2010
Springer
13 years 6 months ago
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
Sandra García, Ricardo Aler, Inés Ma...
BIOSTEC
2008
184views Healthcare» more  BIOSTEC 2008»
13 years 10 months ago
Automatic Speech Recognition Based on Electromyographic Biosignals
This paper presents our studies of automatic speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. W...
Szu-Chen Stan Jou, Tanja Schultz
SIGMOD
2006
ACM
131views Database» more  SIGMOD 2006»
14 years 9 months ago
An automatic construction and organization strategy for ensemble learning on data streams
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...
Yi Zhang, Xiaoming Jin
FLAIRS
2004
13 years 10 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 9 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han