Varieties of Professional Domains and Employability Determinants in Higher Education

This paper discusses graduates employability and early career success. In this context it follows multiple goals. First, it overviews the key research issues, results and concepts related to HE graduates’ transition. While this classification remains on the level of a simplified meta overview, it indicates the need for the contextualisation of graduate models and improvements in the interpretation of results. Second, it provides a short overview of the graduate transition models developed in early stages of the DEHEMS project and prior to it. Third, it applies theoretical considerations and the model developed in previous sections to a case study analysis of two domains. The data set relates to Slovenian graduates 5 years after they graduated from the HEGESCO international survey. The preliminary analysis leads to general conclusions and recommendations for further analysing and comparing different professional domains. Some concluding observations related do domain varieties are: a) graduates’ professional success is a multidimensional concept and requires modifications when applied to analytical models of study domains, b) even when the results of different study domains appear to be similar, their meaning can differ a lot when the interpretation is placed within the specific context of a professional domain, c) the principles and responsibility of the competencies incubation phase from education and the labour market should be interpreted and understood in line with the expected function of the HE institution, e) knowing the prevailing logic behind graduates’ jobs, such as managerialism, bureaucracy or professionalism in relation to graduates’ career observations might be another factor in determining graduates’ career success factors, f) when considering the factors of career success or the quality of jobs, one should be aware there might be an important difference when considering a model on an individual-level or a country-level basis.

String and Membrane Gaussian Processes

In this paper we introduce a novel framework for making exact nonparametric Bayesian inference on latent functions, that is particularly suitable for Big Data tasks. Firstly, we introduce a class of stochastic processes we refer to as string Gaussian processes (string GPs), which are not to be mistaken for Gaussian processes operating on text. We construct string GPs so that their finite-dimensional marginals exhibit suitable local conditional independence structures, which allow for scalable, distributed, and flexible nonparametric Bayesian inference, without resorting to approximations, and while ensuring some mild global regularity constraints. Furthermore, string GP priors naturally cope with heterogeneous input data, and the gradient of the learned latent function is readily available for explanatory analysis. Secondly, we provide some theoretical results relating our approach to the standard GP paradigm. In particular, we prove that some string GPs are Gaussian processes, which provides a complementary global perspective on our framework. Finally, we derive a scalable and distributed MCMC scheme for supervised learning tasks under string GP priors. The proposed MCMC scheme has computational time complexity $\mathcal{O}(N)$ and memory requirement $\mathcal{O}(dN)$, where $N$ is the data size and $d$ the dimension of the input space. We illustrate the efficacy of the proposed approach on several synthetic and real-world datasets, including a dataset with $6$ millions input points and $8$ attributes.Comment: To appear in the Journal of Machine Learning Research (JMLR), Volume 1

Real estate market activity in Slovenia in 2000-2006

This paper examines a particular aspect of Slovenian real estate market that is still developing -real estate market activity. Only two decades ago, Slovenia still had a socialist, planned economy, so there is a lack of tradition in the fields of both the real estate market and analysis of that market. The former only started to develop with the transition to the market-oriented economy in the beginning of the 1990s. Significant progress was observed in the second half of the 1990s, due to the favourable economic development of the country. In our research, we focused on the real estate market development in the 2000-2006 period, which was marked by major changes in legislation and other institutional backgrounds, directly or indirectly referring to the field of real estate and real property. The development of the real estate market in Slovenia was examined for a given period on the basis of the available market data, which have been acquired from the Tax Administration of the Republic of Slovenia; the real estate market activity development is analysed by statistical regions and types of real estate. The results show general developments in the Slovenian real estate market for the given period and, in particular, the influence of institutional and legal factors on real estate market activity