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IDEAL
2000
Springer
15 years 6 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
ICML
2007
IEEE
16 years 4 months ago
Hybrid huberized support vector machines for microarray classification
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
Li Wang, Ji Zhu, Hui Zou
AAAI
2008
15 years 5 months ago
Semi-Supervised Learning for Blog Classification
Blog classification (e.g., identifying bloggers' gender or age) is one of the most interesting current problems in blog analysis. Although this problem is usually solved by a...
Daisuke Ikeda, Hiroya Takamura, Manabu Okumura
BIOID
2008
152views Biometrics» more  BIOID 2008»
15 years 5 months ago
On Quality of Quality Measures for Classification
Abstract. In this paper we provide a theoretical discussion of the impact of uncertainty in quality measurement on the expected benefits of including biometric signal quality measu...
Krzysztof Kryszczuk, Andrzej Drygajlo
IJISTA
2007
124views more  IJISTA 2007»
15 years 3 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...