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Multi-task learning is commonly used in autonomous driving for solving various visual perception tasks. It offers significant… Expand Autonomous driving requires operation in different behavioral modes ranging from lane following and intersection crossing to… Expand While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational… Expand The LogAnswer system is an application of automated reasoning to the field of open domain question answering. In order to find… Expand Users in the Beyond-Third-Generation (B3G) wireless system expect to receive ubiquitous communication services with customised… Expand This study examined the development of individual social capital in a distributed learning community. Feld's theory of focused… Expand Abstract: This report describes a within-subjects experiment in which we compare the relative effectiveness of five sociogram… Expand There are a number of scenarios where it is desirable to have a wireless device connect to multiple networks simultaneously… Expand A limiting factor in research on combining classifiers is a lack of awareness of the full range of available modular structures… Expand We examine two representation schemes for uncertain knowledge: the similarity network (Heckerman, 1991) and the Bayesian multinet… Expand