Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
This paper presents a new background light intensity normalization algorithm suitable for historical document images. The algorithm uses an adaptive linear function to approximate...
We study approaches that fit a linear combination of basis functions to the continuation value function of an optimal stopping problem and then employ a greedy policy based on the...
We present method and implementation to acquire deformable models of elastic objects. The method is based on the Green's functions matrix representation of an elastic solid. ...