Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
: We propose a new scheme of `automatic pricing' for digital contents, and describe an implemented system as well as concrete pricing algorithms for it. Automatic pricing refe...
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...
In this paper we propose a novel approach to the detection of on-line handwritten text lines based on dynamic programming. We try to find the paths with the minimum cost between ...
We present an on-line Dynamic Voltage Scaling (DVS) algorithm for preemptive fixed-priority real-time systems called low power Limited Demand Analysis with Transition overhead (l...