648 search results - page 23 / 130 » Large Margin Classification Using the Perceptron Algorithm |
PRL
2000
13 years 7 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
EDBT
2000
ACM
13 years 11 months ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
ACIVS
2010
Springer
13 years 5 months ago
2010
Springer
This article presents a novel method for classification of plants using their leaves. Most plant species have unique leaves which differ from each other by characteristics such as ...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...