This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
The goal of the PADS project, which started in 2001, is to make it easier for data analysts to extract useful information from ad hoc data files. This paper does not report new r...
We present a simple method for transferring dependency parsers from source languages with labeled training data to target languages without labeled training data. We first demons...