Mitre Corporation

About: Mitre Corporation is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Air traffic control & National Airspace System. The organization has 4884 authors who have published 6053 publications receiving 124808 citations. The organization is also known as: Mitre & MITRE.

Principles of Evaluation in Natural Language Processing

Abstract: In this special issue of TAL, we look at the fundamental principles underlying evaluation in natural language processing. We adopt a global point of view that goes beyond the horizon of a single evaluation campaign or a particular protocol. After a brief review of history and terminology, we will address the topic of a gold standard for natural language processing, of annotation quality, of the amount of data, of the difference between technology evaluation and usage evaluation, of dialog systems, and of standards, before concluding with a short discussion of the articles in this special issue and some prospective remarks

Optimal book embeddings of the FFT, benes, and barrel shifter networks

Abstract: This paper gives 3-page book embeddings of three important interconnection networks: the FFT network, the Benes rearrangeable permutation network, and the barrel shifter network. Since all three networks are eventually nonplanar, they require three pages and the present embeddings are optimal. Also, the embeddings have pages of comparable widths.

On evaluating self-adaptive software

Abstract: This article attempts to address the issues of evaluating self-adaptive software systems, an emerging discipline. Since the field is in its early phase and has not produced enough mature systems for consideration, we try to approach the evaluation issue by considering a descriptive model of selfadaptive software based on control systems. Taking inspirations and using the vocabularies from the feedforward and feedback control paradigms, this article will illustrate the analogous properties in self-adaptive software and its evaluation consideration such as stability and robustness. Existing approaches to self-adaptive software take different aspects, ranging from viewing it as new programming paradigm, new architecture style, new modeling paradigm to a new software engineering principle. This article tries to elicit the evaluation consideration from these different aspects.

Representational Issues in Machine Learning of User Profiles

Abstract: As more information becomes available electronically, tools for finding information of interest to users become increasingly important. Building tools for assisting users in finding relevant information is often complicated by the difficulty in artioalating user interest in a form that can be used for searching. The goal of the research described here is to build a system for generating comprehensible user profiles that accurately capture user interest with minimum user interaction. Machine learning methods offer a promising approach to solving this problem. The research described here focuses on the importance of a suitable generalization hierarchy and representation for learning profiles which are predictively accurate and comprehensible. In our experiments using AQISc and C4.5 we evaluated both traditional features based on weighted term vectors as well as subject features corresponding to categories which could be drawn from a thesaurus. Our experiments, conducted in the context of a content-based profiling system for on-line newspapers on the World Wide Web (the IDD News Browser) demonstrate the importance of a generalization hierarchy in olxaining high predictive accuracy, precision and recall, and stability of learning.

Efficient wideband jammer nulling when using stretch processing

Abstract: Techniques are described for performing adaptive jammer nulling over extremely wide bandwidths on radar systems which use linear frequency modulated (LFM) waveforms and stretch processing. It is assumed that the range uncertainty of the target is a small percentage of the equivalent range extent of the uncompressed pulse. The assumption allows the cancellation to take place following stretch processing in either the time domain using a narrowband sliding filter that keeps up with the chirp fate or in the frequency domain. The new approach supports nulling performance over gigahertz of bandwidth comparable to that previously achieved over a few megahertz using approximately the same number of spatial degrees of freedom.