In this paper, we perform an in - depth investigation of relative merits of two adaptive learning algorithms with … testing ground. The behavior of the two learning algorithms is very different. Under the mean (averaged) RLS dynamics, the … stable under the SG mean dynamics in a large region. However, actual behavior of the SG learning algorithm is divergent for a …

cost of n setups is a concave nondecreasing function of n. Such setup costs could arise from the worker learning in setups …

Minimax lower bounds for concept learning state, for example, that for each sample size n and learning rule gn , there … sequence of learning rules fgn g, there exists a fixed distribution of X and axed concept C such that the expected error is …

This paper tries to connect the theory of genetic algorithm (GA) learning to evolutionary game theory. It is shown that … economic learning via genetic algorithms can be described as a specific form of evolutionary game. It will be pointed out that … GA learning results in a series of near Nash equilibria which during the learning process build up to finally reach a …