94 search results - page 16 / 19 » Active Sampling for Knowledge Discovery from Biomedical Data |
AIME
1997
Springer
13 years 11 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
EJASP
2010
13 years 2 months ago
2010
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor mod...
RECOMB
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Recent genome sequencing studies have shown that the somatic mutations that drive cancer development are distributed across a large number of genes. This mutational heter...
IDA
2010
Springer
13 years 11 months ago
2010
Springer
This Paper presents a platform to mine epileptiform activity from Electroencephalograms (EEG) by combining the methodologies of Deterministic Finite Automata (DFA) and Knowledge Di...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...