Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that "the sensornet is a database" is problematic, however, because sensors do not exhaustively represent the data in the real world. In order to map the raw sensor

In order to solve problems of reliability of systems based on lexical repetition and problems of adaptability of language-dependent systems, we present a context-based topic segmentation system based on a new informative similarity measure based on word co-occurrence. In particular, our evaluation

Abstract. Interoperability is one of the main quality criteria required for Semantic Web technology. In this paper we propose a method for defining benchmark suites for evaluating the RDF(S) importers of Semantic Web technology. We also show how this method was used for developing a benchmark

) and the cost of classification are sensitive to the choice of the features used to construct the classifier. Exhaustive evaluation of possible feature subsets is usually infeasible in practice because of the large amount of computational effort required. Genetic algorithms, which belong to a class

Abstract. Morton layout is a compromise storage layout between the programming language mandated layouts row-major and column-major, providing substantial locality of reference when traversed in either direction. This paper explores the performance of Morton, row-major and column-major layouts in detail on some representative architectures. Using a small suite of dense kernels working on two-dimensional arrays, we have carried out an extensive study of the impact of poor array layout and of whether Morton layout can offer an attractive compromise. Whether Morton layout is better than traversing a column-major array in row-major order (or vice versa) depends on problem size and architecture. Morton layout generally leads to much more consistent performance and only a small improvement in its performance could make it an attractive alternative. 1

for exhaustive evaluation using Gray Code sequencing in moderately sized problems, and fast Markov Chain Monte Carlo exploration in large problems. Estimation of normalization constants is seen to provide improved posterior estimates of individual model probabilities and the total visited probability. Various

for estimating the interpolation parameter of the second stage. Evaluation on five different databases and four types of queries indicates that the two-stage smoothing method with the proposed parameter estimation methods consistently gives retrieval performance that is close to— or better than—the best results

This paper is an attempt to describe andevaluate current methods for assessing the quality of medicalcare and to suggest some directions for further study. It is con-cerned with methods rather than findings, and with an evaluation of methodology in general, rather than a detailed critique

photos and what information is contained in the tagging. Based on this analysis, we present and evaluate tag recommendation strategies to support the user in the photo annotation task by recommending a set of tags that can be added to the photo. The results of the empirical evaluation show that we can

This paper presents an exhaustive evaluation of the quality of an audio watermarking algorithm.