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» Classifier Selection Based on Data Complexity Measures
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AIED
2009
Springer
15 years 4 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross
WACV
2007
IEEE
15 years 4 months ago
On Channel Reliability Measure Training for Multi-Camera Face Recognition
Single-camera face recognition has severe limitations when the subject is not cooperative, or there are pose changes and different illumination conditions. Face recognition using ...
Binglong Xie, Visvanathan Ramesh, Ying Zhu, Terran...
RECOMB
2000
Springer
15 years 1 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
KAIS
2007
97views more  KAIS 2007»
14 years 10 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
RECSYS
2009
ACM
15 years 4 months ago
Measuring predictive capability in collaborative filtering
This paper presents a new memory-based approach to Collaborative Filtering where the neighbors of the active user will be selected taking into account their predictive capability....
Luis M. de Campos, Juan M. Fernández-Luna, ...