Francesco Vivarelli

Discovering Hidden Features with Gaussian Processes Regression

Christopher K. I. Williams, Francesco Vivarelli, Francesco Vivarelli, 1998, NIPS.

Using Bayesian neural networks to classify segmented images

Christopher K. I. Williams, Francesco Vivarelli, Francesco Vivarelli, 1997 .

Upper and Lower Bounds on the Learning Curve for Gaussian Processes

Christopher K. I. Williams, Francesco Vivarelli, Francesco Vivarelli, 2000, Machine Learning.

LGANN: a parallel system combining a local genetic algorithm and neural networks for the prediction of secondary structure of proteins

Piero Fariselli, Rita Casadio, Renato Campanini, 1995, Comput. Appl. Biosci..

Comparing Bayesian neural network algorithms for classifying segmented outdoor images

Christopher K. I. Williams, Francesco Vivarelli, Francesco Vivarelli, 2001, Neural Networks.

General Bounds on Bayes Errors for Regression with Gaussian Processes

Manfred Opper, Francesco Vivarelli, M. Opper, 1998, NIPS.

The prediction of protein secondary structure with a Cascade Correlation Learning Architecture of neural networks

Piero Fariselli, Rita Casadio, Francesco Vivarelli, 1997, Neural Computing & Applications.

Upper and Lower Bounds on the Learning Curve for Gaussian Processes Upper and Lower Bounds on the Learning Curve for Gaussian Processes 2

Christopher K. I. Williams, Francesco Vivarelli, K. Williams, 1999 .