110 search results - page 19 / 22 » Boosting a Weak Learning Algorithm by Majority |
DIS
2009
Springer
14 years 1 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
RECOMB
2005
Springer
14 years 7 months ago
2005
Springer
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
PAMI
2008
13 years 7 months ago
2008
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
SAC
2008
ACM
13 years 5 months ago
2008
ACM
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
COLT
2001
Springer
13 years 12 months ago
2001
Springer
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...