244 search results - page 2 / 49 » Boosted Optimization for Network Classification |
133
click to vote
ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
136
click to vote
ISNN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic m...
152
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...
139
click to vote
CSB
2004
IEEE
15 years 7 months ago
2004
IEEE
Boosted PRIM (Patient Rule Induction Method) is a new algorithm developed for two-class classification problems. PRIM is a variation of those Tree-Based methods ( [4] Ch9.3), seek...
132
click to vote
JIPS
2007
15 years 3 months ago
2007
In this paper, we introduce a domain-independent classification framework based on both k-nearest neighbor and Naïve Bayesian classification algorithms. The architecture of our s...