Any model-based prediction must take account of the discrepancy between the model and the underlying system. In physical systems such as climate, where a typical system component is indexed by space, time, and type, this discrepancy has a complex joint structure, which makes direct elicitation very demanding. Here we propose an alternative to direct elicitation, based on judgements about a coll...

Data fusion in the virtual data integration environment starts after detecting and clustering duplicated records from the different integrated data sources. It refers to the process of selecting or fusing attribute values from the clustered duplicates into a single record representing the real world object. In this paper, a statistical technique for data fusion is introduced based on some proba...

In the United States, but not in Canada, nominal interest on residential housing mortgages is a deductible expense for the personal income tax. This suggests that changes in nominal interest rates could conceivably have differing impacts on real estate values in the two countries. The inflation component of nominal interest should have a negative impact on Canadian real estate, but its effect s...

This paper presents an unsupervised approach for learning of patterns with spatial and temporal information from a very small number of training samples. The method employs a spiking network with axonal conductance delays that learns the encoding of individual patterns as sets of polychronous neural groups, which emerge as a result of training. A similarity metric between sets, based on a modif...

compressibility characteristics of fine-grained soils are often the most important parameters for settlement evaluation of the founded layers. the compression index which is the slope of virgin curve is usually for determination of settlement potential of fine grained soils. in this research, the effects of different physical and index properties of soil samples were investigated on compression...

Received: 12 December 2007 Revised: 11 March 2008 Accepted: 16 March 2008 Abstract Scatterplots and parallel coordinate plots (PCPs) can both be used to assess correlation visually. In this paper, we compare these two visualization methods in a controlled user experiment. More specifically, 25 participants were asked to report observed correlation as a function of the sample correlation under v...

We deal with the effect of missing data under a ”Missing at Random Model” on classification of variables with non hierarchical methods. The partitions are compared by the Rand’s index.