151 search results - page 1 / 31 » Iterative Improvement of Neural Classifiers |
FLAIRS
2004
13 years 8 months ago
2004
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
KDD
1995
ACM
13 years 10 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
IJCAI
2003
13 years 8 months ago
2003
We present an approximate policy iteration algorithm that uses rollouts to estimate the value of each action under a given policy in a subset of states and a classifier to general...
ICCS
2007
Springer
14 years 1 months ago
2007
Springer
We evaluate the effectiveness of neural networks as a tool for predicting whether a particular combination of preconditioner and iterative method will correctly solve a given spar...