Even the entire Web corpus does not explicitly answer all questions, yet inference can uncover many implicit answers. But where do inference rules come from? This paper investigat...
Stefan Schoenmackers, Jesse Davis, Oren Etzioni, D...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Data security is a critical issue for many organizations. Sensitive data must be protected from both inside and outside attackers. Access control policies and related mechanisms h...
This chapter considers, on the one hand, extensions of Description Logics by features not available in the basic framework, but considered important for using Description Logics a...
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...