this research develops a two-level model based on hypotheses, which concern relationships among role ambiguity, role conflict, job involvement and salesperson performance at individual level and collective sale self efficacy, customer orientation and competitive climate at sale unit level in iranian food industry. data was drawn from 482 sales people in 30 companies , using a 51-item self-repor...

We outline the principles of Bayesian classification using discrete templates. We show that this form of nonparametric modelling is semi-supervised learning and embodies multi-level hierarchical modelling to infer all model parameters from the data. CU8 GAIA-C8-TN-MPIA-CBJ-061 Document History Issue Revision Date Author Comment 1 1 2011-08-29 CBJ Added softmax implementation 1

Interoperability of Enterprise Applications is a serious and multi-facetted problem. One of the tasks of the recently-started INTEROP Network of Excellence is to address this problem at the modelling level through the elaboration of a Unified Enterprise Modelling Language (UEML). In this paper, some methodological hints and an embryonic mission statement are submitted to discussion with peers.

The natural language system DISC() is described. It combines a powerful and flexible grammar development system; • linguistic competence for German including morphology , syntax and semantics; • new metlmds for linguistic performance modelling on the basis of high-level competence grammars; • new methods for modelling multi-agent dialogue competence ; • an interesting sample application for app...

Multi-level modelling is a technology that promotes an incremental refinement of meta-models in successive meta-levels. This enables a flexible way of modelling, which results in simpler and more intensional models in some scenarios. In this context, integrity constraints can be placed at any meta-level, and need to indicate at which meta-level below they should hold. This requires a very caref...

In this paper, we construct context-independent single-path and multi-path syllable models aimed at improved pronunciation variation modelling. We use phonetic transcriptions to define the topologies of the syllable models and to initialise the model parameters, and the Baum-Welch algorithm for the re-estimation of the model parameters. We hypothesise that the richer topology of multi-path syll...