This paper presents a novel method of constructing a human task model by attention point (AP) analysis. The AP analysis consists of two steps. At the first step, it broadly observes human task, constructs rough human task model and finds APs which require detailed analysis. Then at the second step, by applying time-consuming analysis on APs in the same human task, it can enhance the human task ...

Generic test environments such as Emulab allow to perform large scale tests on different network topologies. While these facilities offer a tool to easily configure the topology, setting up realistic network scenarios afterwards is a manual and time consuming task involving the configuration of dozens of servers, including the installation of software suites and the emulation of subscriber beha...

Hierarchical task networks provide an efficient way to encode user prescriptions about what constitute good plans using component methods. However, manual construction of these methods is complex and time consuming. In this paper, we propose a novel approach to learning probabilistic hierarchical task networks that capture the user preference by examining user-produced plans given no prior info...

We study the properties of input-consuming derivations of moded logic programs. Inputconsuming derivations can be used to model the behavior of logic programs using dynamic scheduling and employing constructs such as delay declarations. We consider the class of nicely-moded programs and queries. We show that for these programs a weak version of the well-known switching lemma holds also for inpu...

In a memorable story about his friend Alypius, Augustine presents a portrait of both the strong appeal of viewing violence and our ineffectual struggle to resist it. Alypius, who “had been carried away by an incredible passion for gladiatorial shows,” became deeply ashamed of his fascination with the gruesome contests and vowed never to return to the “games.” Then one evening some of Alypius’s ...

Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different biases, interpretations of the task and levels of consistency. We present novel techniques for learning from the outputs of multiple annotators while accounting for annotator specific behaviour. The...

In one view, high performance and large data visualization is largely an exercise in the efficient use of bandwidth. Terascale visualization problems involve movement of large amounts of data from spinning disk to software components that transform the data into visible pixels. End-to-end, problems of this magnitude require a staggering amount of bandwidth and processing power. When the data, s...

Formalizing Clinical Practice Guidelines for a subsequent computer-supported processing is a cumbersome, challenging, and time-consuming task. But currently available tools and methods do not satisfactorily support this task. We propose a new multi-step approach using Information Extraction and Transformation. This paper addresses the Information Extraction task. We have developed several heuri...