In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem in small amount of training data. The Multi-Class Composite Ngram maintains an accurate word prediction capability and reliability for sparse data with a compact model size based on multiple word clusters, so-called Multi-Classes. In the Multi-Class, the statistical connectivity...

In this paper a personalization attribute oriented approach with mobile internet communities’ context is presented. Such an approach enables different personalization attributes to have an effect on available internet-based communities in the mobile end-user device. These attributes are building blocks in the personalized services and applications both in the various public and private communit...

We study a data-driven approach to multi-mode interval velocity analysis in laterally inhomogeneous and anisotropic media. We obtain a simple model-independent description of long-spread reflection moveout versus offset for both symmetric and asymmetric wave modes. It resolves a trade-off between anisotropy and lateral heterogeneity. This is done using offset-dependent arrivalangle and wavefron...

The real world is composed of sets of objects that have multidimensional properties and relations. Whether an agent is planning the next course of action in a task or making predictions about the future state of some object, useful taskoriented concepts are often encoded in terms of the complex interactions between the multi-dimensional attributes of subsets of these objects and of the relation...

Attributes, or semantic features, have gained popularity in the past few years in domains ranging from activity recognition in video to face verification. Improving the accuracy of attribute classifiers is an important first step in any application which uses these attributes. In most works to date, attributes have been considered to be independent. However, we know this not to be the case. Man...

Green software development is a relatively new research area within green IT. Software development industry has started getting pressure from regulators to consider green software development. As a result, green attributes of software products are gaining importance as quality attributes. In this study, we evaluate environmental sustainability and software quality criteria using a well-known mu...

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...

Network science has become an important tool in the analysis of societies and entities. There has been discussion in the literature about dichotomous two-mode networks and methods to derive the onemode network, but no research have yet contributed to the expansion of this problem and its applications. In this paper, we present a novel advanced mathematical methodology to manipulate multi-mode n...

avo analysis is a technique which is widely used in industry and is applied on seismic prestack data. results from changes in seismic wave reflection amplitude versus offset can be used in extracting elastic properties and hence lithology and reservoirs pore fluid identification. before performing avo analysis studies, processing steps should be ensured that changes in reflection amplitude are ...

As machine is designed, special design requirements are influenced by various restraint factors in the practice. The evaluation of its scheme usually features multi levels, multi attributes and a mixed type of both qualitative and quantitative indices. Therefore this paper researches on the evaluation of the machine design scheme and provides an evaluation method of the machine design scheme ba...