Robust selection of variables in a linear regression model is investigated. Many variable selection methods are available, but very few methods are designed to avoid sensitivity to vertical outliers aswell as to leverage points. The nonnegative garrotemethod is a powerful variable selection method, developed originally for linear regression but recently successfully extended to more complex reg...

In recent years there has been considerable activity, by business analysts and academics, in developing new approaches to understanding contemporary innovation processes. This has resulted in the emergence of a large number of conceptual alternatives, with many overlapping features. It is the aim of this paper to outline and compare the most popular of these frameworks, and develop a model inco...

This paper investigates the diffusion of system dynamics as research paradigm. It deals with the question whether the diffusion of system dynamics is influenced by network externalities. Assuming the existence of such network externalities the so called penguin and bandwagon effect must be considered regarding the diffusion. Based on a system dynamics model considering network externalities lev...

We describe our work to integrate the FoodOn ontology with knowledge base of food composition data, WikiFCD. WikiFCD is structured data related and items. With a goal reuse identifiers for items, we imported subset into base. aligned import via shared use NCBI taxon names plants from which items are derived. Reusing benefits by allowing us leverage item groupings that contains. This integration...

This paper outlines some research questions in relation to software process improvement. Software process improvement should be a continuous activity where you go through with a set of activities to achieve a higher level of maturity. These activities can be seen as a four step process; information collection and investigation, decision making and planning, implementation, and evaluation. This ...

due to the fact that assets are recorded at their historical value and they may include unrealized gains (losses), managers may manipulate earnings through the sale of these assets and provide financial information which is not accurate and reliable. the aim of this study is to investigate the relationship between income from asset sales, earnings change and leverage of companies listed on tehr...

Learning a good representation of text is key to many recommendation applications. Examples include news recommendation where texts to be recommended are constantly published everyday. However, most existing recommendation techniques, such as matrix factorization based methods, mainly rely on interaction histories to learn representations of items. While latent factors of items can be learned e...

How can we leverage social network data and observed ratings to correctly recommend proper items and provide a persuasive explanation for the recommendations? Many online services provide social networks among users, and it is crucial to utilize social information since recommendation by a friend is more likely to grab attention than the one from a random user. Also, explaining why items are re...