Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen
Abstract. In this paper we address the important problem of optimizing regularization parameters in neural network modeling. The suggested optimization scheme is an extended version of the recently...
Neural Networks for Signal Processing Input layer Output layer (2007)
x(k-12) x(k-11) x(k-10) x(k-9) x(k-8) x(k-7) x(k-6) x(k-5) x(k-4) x(k-3) x(k-2) x(k-1) x(k)
1 1. Regularization of Neural Networks (2007)
Jan Larsen, Lars Kai Hansen, Claus Svarer
Neural networks are flexible tools for nonlinear function approximation and by expanding the network any relevant target function can be approximated [6]. The risk of overfitting
Cerebral activation during micturition in normal men (2000)
Nour, Sam, Svarer, Claus, Kristensen, Jørgen K. I., Paulson, Olaf B., Law, Ian
Specific cerebral lesions have shown the crucial role of the brain in the control of micturition. The precise identification of the anatomical cerebral structures involved in micturition can...
Generalizable Patterns in Neuroimaging: How Many Principal Components? (1999)
Lars Kai Hansen, Jan Larsen, Finn Årup Nielsen, Arup Nielsen, Stephen C. Strother, Egill Rostrup, ...
Generalization can be defined quantitatively and can be used to assess the performance of Principal Component Analysis (PCA). The generalizability of PCA depends on the number of principal components...
Niels Mørch, Lars K. Hansen, Stephen C. Strother, Claus Svarer, David A. Rottenberg, Benny Lautrup, ...
. We introduce the concept of generalization for models of functional neuroactivation, and show how it is affected by the number, N , of neuroimaging scans available. By plotting generalization as a...
Visualization of Neural Networks Using Saliency Maps (1995)
Ulrik Kjems, Lars Kai Hansen, Claus Svarer, Ian Law, ...
The saliency map is proposed as a new method for understanding and visualizing the nonlinearities embedded in feed-forward neural networks, with emphasis on the ill-posed case, where the...
Estimation of the Glucose Metabolism from Dynamic PET-scans using Neural Networks. (1995)
Claus Svarer, Ian Law, Søren Holm, Niels Mørch, Olaf Paulson, Lars Kai Hansen, ...
A method for fast pixel by pixel estimation of the Glucose Metabolism in the brain using the tracer [ 18 F]flourodeoxyglucose in dynamic PET-scan data is described. A neural network is trained to...
Massive Weight Sharing: A Cure For Extremely Ill-Posed Problems (1994)
Benny Lautrup, Lars Kai Hansen, Ian Law, Claus Svarer, Stephen C. Strother
this paper we show, for the case of a set of pet images differing only in the values of one stimulus parameter, that it is possible to train a neural network to learn the underlying rule without...
On Design and Evaluation of Tapped-Delay Neural Network Architectures (1993)
Claus Svarer, Lars Kai Hansen, Jan Larsen
Abstract--- We address pruning and evaluation of Tapped-Delay Neural Networks for the sunspot benchmark series. It is shown that the generalization ability of the networks can be improved by pruning...