This paper discusses some issues related to the planning of a series of grid experiments in the context of the TrebleCLEF project with the aim of improving the comprehension of MultiLingual Information Access (MLIA) with respect to languages, e.g. differences in the effectiveness of the various weighting schemes and retrieval models.

Remotely sensed maps of forest disturbance provide a powerful tool for predicting spatial and temporal variability in the loading of nitrogen to receiving waters, key data needed for effective watershed management of nutrient pollution. We hypothesize that the spatial arrangement of disturbances within small-forested watersheds can affect N loadings. To test this, we developed schemes for spati...

This work studies the effect of diffusion-weighting on the precision of measurements of the apparent diffusion coefficient (ADC, or D) by diffusion-weighted magnetic resonance imaging. The precision in the value of the ADC was described in terms of a diffusion-to-noise ratio (DNR) which was calculated as the signal-to-noise ratio in the resultant ADC. A theoretical analysis decomposed the DNR i...

With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, scalability is accomplished through a data reduction technique, which partitions a large data set into subsets, applies a learning algorithm on each subset sequentially or concurrently, and then integrates the learned r...

This paper explores various Social Network Analysis (SNA) techniques in order to identify a range of potentially ‘important’ members of Islamic Networks within Dark Web Forums. For this experiment, we conducted our investigation on five forums collected in previous work as part of the Dark Web Forum portal and built upon the tool support created in our previous research in order to visualise an...

We propose a document retrieval that evaluates the degree of similarity between a query and a document in consideration of not only term-weights but also the amount of term frequencies. Different from tf-idf term-weighting schemes, the proposed scheme never reflects a term frequency in calculating the term-weight. We carried out an experiment in retrieval performance evaluation using a subset o...

This paper presents continuous-time adaptive estimation schemes associated with a class of finite dimensional, time invariant, Iinearstocbastic signal models. A global convergence theory is given for such schemes undera coloured noise/ prefiHer positive real condition, which may be side-stepped for moving average models, Attention is first focused on extended least squares (ELS) identification ...

Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be acceptable. Recent research has shown that constraint weighting local search algorithms can be very effective in solving a variety of CSPs. However, little work has been done in applying such algorithms to over-constrai...

Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be acceptable. Recent research has shown that constraint weighting local search algorithms can be very effective in solving a variety of CSPs. However, little work has been done in applying such algorithms to over-constrai...