110 search results - page 19 / 22 » Boosting a Weak Learning Algorithm by Majority |
DIS
2009
Springer
15 years 6 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 ...
108
click to vote
RECOMB
2005
Springer
16 years 14 hour 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...
110
click to vote
PAMI
2008
14 years 11 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...
114
click to vote
SAC
2008
ACM
14 years 10 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...
113
click to vote
COLT
2001
Springer
15 years 4 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 ...