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Exploring Maximum Entropy Distributions with Evolutionary Algorithms
An evolutionary algorithm can obtain approximations to some well-known analytical results, but is even more flexible and can find distributions for which a closed formula cannot be readily stated.
Logistic Regression as Soft Perceptron Learning
We comment on the fact that gradient ascent for logistic regression has a connection with the perceptron learning algorithm.
Deepest Neural Networks
This paper shows that a long chain of perceptrons (that is, a multilayer perceptron, or MLP, with many hidden layers of width one) can be a universal classifier.
Image Segmentation by Uniform Color Clustering Approach and Benchmark Results
The following article presents an approach for interactive foreground extraction in still images.
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