Most of the work which attempts to give bounds on the generalization error of the hypothesis generated by a learning algorithm is based on methods from the theory of uniform conve...
A new algorithm for learning one-variable pattern languages is proposed and analyzed with respect to its average-case behavior. We consider the total learning time that takes into...
We present a formal verification methodology that we have used on a computer system design project. The methodology integrates a temporal logic model checker with a conventional pr...
We describe a technique for achieving fast volume ray casting on parallel machines, using a load balancing scheme and an e cient pipelined approach to compositing. We propose a ne...
In this paper we introduce and investigate a mathematically rigorous theory of learning curves that is based on ideas from statistical mechanics. The advantage of our theory over ...
David Haussler, H. Sebastian Seung, Michael J. Kea...