We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Interactive programs, such as GUIs or spreadsheets, often maintain dependency information over dynamically-created networks of objects. That is, each imperative object tracks not ...
Neel R. Krishnaswami, Lars Birkedal, Jonathan Aldr...
: This paper describes the development of an Intellectual Property (IP) core in VHDL able to implement a Multilayer Perceptron (MLP) artificial neural network (ANN) topology with u...
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
In this paper we present a system for off-line signature verification. The paper’s contributions are: i) Five distances were calculated and evaluated over the signature databas...
Milena R. P. Souza, Leandro R. Almeida, George D. ...