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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 17 days ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
GCB
2003
Springer
164views Biometrics» more  GCB 2003»
15 years 11 months ago
Integrative machine learning approach for multi-class SCOP protein fold classification
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
Aik Choon Tan, David Gilbert, Yves Deville
AAAI
2008
15 years 8 months ago
Multi-View Local Learning
The idea of local learning, i.e., classifying a particular example based on its neighbors, has been successfully applied to many semi-supervised and clustering problems recently. ...
Dan Zhang, Fei Wang, Changshui Zhang, Tao Li
HIS
2008
15 years 8 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
IADIS
2008
15 years 8 months ago
Semantic Learning Content Management System
Building semantics concepts into the learning tools and utilities will open the road for the next generation of the Learning Content Management System (LCMS). We propose here to n...
Radu Balog-Crisan, Ioan Roxin