IJCSS
2007
13 years 9 months ago
2007
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
OR
2006
Springer
13 years 9 months ago
2006
Springer
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
NPL
2006
13 years 9 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
NPL
2006
13 years 9 months ago
2006
Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
NN
2006
Springer
13 years 9 months ago
2006
Springer
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
NN
2006
Springer
13 years 9 months ago
2006
Springer
In theories of cognition that view the mind as a system of interacting agents, there must be mechanisms for aggregate decision-making, such as voting. Here we show that certain vo...
NN
2006
Springer
13 years 9 months ago
2006
Springer
NN
2006
Springer
13 years 9 months ago
2006
Springer
NN
2006
Springer
13 years 9 months ago
2006
Springer
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
NN
2006
Springer
13 years 9 months ago
2006
Springer