PABLO' is a nonlinear planner that reasons hially by generating abstract predicates. PABLO's abstract search spaces are generated automatically using predicate relaxatio...
This paper explores the use of statistical machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to...
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
This paper proposes the use of a crossbar-like tree structure to use with Dynamic Markov Compression (DMC) for the compression of Chinese text files. DMC had previously been found...
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...