This paper deals with the problem of machine learning on sets of documents connected into graphs. Our strategy is to represent each document by a diverse set of heterogeneous attributes, including traditional binary and categorical attributes, textual attributes, and attributes derived from the graphs. We present experiments on two datasets, showing the usefulness of graph-based attributes and ...

abstract for evaluating nacl salinity effect on some physiological and qualitative attributes of five winter canola cultivars, an experiment was conducted in a rcd base factorial in three replicates in greenhouse of east azarbaijan agricultural research center in 2008. five salinity levels as 0, 50, 100, 150 and 200 mm nacl treated as first factor on five rape seed (fornax, licord, elite, slm04...

We propose a method, called PREDIQT, for model based prediction of impact of architecture design changes on system quality. PREDIQT supports simultaneous analysis of several quality attributes and their trade-offs. This paper argues for the feasibility of the PREDIQT method based on a comprehensive industrial case study targeting a system for managing validation of electronic certificates and s...

Fuzzy measures have been widely used to determine the degrees of subjective importance of evaluation items. However, the leniency error may exist when most attributes are assigned unduly high ratings. Because respondents often assign similarly complimentary scores, errors of positive leniency make it difficult to differentiate the importance of decision attributes. To reduce positive leniency i...