794 search results - page 79 / 159 » Optimization Techniques for Semi-Supervised Support Vector M... |
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
NIPS
2007
13 years 10 months ago
2007
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
CCS
2009
ACM
14 years 4 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
DATAMINE
2002
13 years 9 months ago
2002
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...