In this paper, we derive lower and upper bounds for the probability of error for a linear classifier, where the random vectors representing the underlying classes obey the multivar...
Automated political districting shares with electronic voting the aim of preventing electoral manipulation and pursuing an impartial electoral mechanism. Political districting can...
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
This paper presents methods of default reasoning which allow us to draw negative conclusions that are not available in some of the models for inheritance reasoning. Some of these ...
We present a new algorithm for topological feature mapping. It is compared to other known feature mapping algorithmslike that proposed by Kohonen or Bertsch. The main difference t...