Recurrent neural networks (RNNs) have been successfully applied to various natural language processing (NLP) tasks and achieved better results than conventional methods. However, the lack of understanding of the mechanisms behind their effectiveness limits further improvements on their architectures. In this paper, we present a visual analytics method for understanding and comparing RNN models ...

While most structured peer-to-peer services are conceptually very simple, their implementation is not. Even though similar observations can be made about any type of software, it can be shown that large parts of implementation complexity derives from the way management tasks such as error condition handling are dealt with. The traditional way to manage distributed systems software is to list al...

GRGEN.NET (www.grgen.net) is a programming language and development tool for graph structured data with pattern matching and rewriting at its core, which furthermore supports imperative and objectoriented programming, and features some traits of database-like query-result processing. Founded on a rich data modeling language with multiple inheritance on node and edge types, it offers pattern-bas...

While deep learning has pushed the boundaries in various machine learning tasks, the current models are still far away from replicating many functions that a normal human brain can do. Explicit memorization based deep architecture have been recently proposed with the objective to understand and predict better. In this work, we design a system that involves a primary learner and an adjacent repr...

Real-time software, often used to control event-driven process control systems, is usually structured as a set of concurrent and interacting tasks. Therefore, output values of real-time software depend not only on the input values but also on internal and nondeterministic execution patterns caused by task synchronization. In order to test real-time software effectively, one must generate test c...

Information extraction techniques automatically create structured databases from unstructured data sources, such as the Web or newswire documents. Despite the successes of these systems, accuracy will always be imperfect. For many reasons, it is highly desirable to accurately estimate the confidence the system has in the correctness of each extracted field. The information extraction system we ...