1707 search results - page 225 / 342 » A Boosting Algorithm for Regression |
144
click to vote
TNN
2010
2010
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
14 years 10 months ago
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
131
click to vote
SDM
2012
SIAM
13 years 5 months ago
2012
SIAM
Network-analysis literature is rich in node-centrality measures that quantify the centrality of a node as a function of the (shortest) paths of the network that go through it. Exi...
143
click to vote
RECOMB
2005
Springer
16 years 3 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...
131
click to vote
JMLR
2008
15 years 3 months ago
2008
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
174
Voted
KDD
2003
ACM
16 years 3 months ago
2003
ACM
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...