76 search results - page 14 / 16 » C2FS: An Algorithm for Feature Selection in Cascade Neural N... |
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
SWARM
2010
SPRINGER
13 years 6 months ago
2010
SPRINGER
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
ICIC
2007
Springer
14 years 1 months ago
2007
Springer
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...