We develop a method for performing boolean convolutions efficiently in word RAM model of computation, having a word size of w = Ω(log n) bits, where n is the input size. The tech...
As a tractable description logic, DL-Lite provides a good compromise between expressive power and computational complexity of inference. It is therefore important to study ways of ...
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
In this paper, we introduce a novel binary method for fast computation of an objective function to measure inter and intra class similarities, which is used for combining multiple...