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When given a single frame of the video, humans can not only interpret the content of the scene, but also they are able to forecast the near future. This ability is mostly driven by their rich prior knowledge about the visual world, both in terms of (i) the ...
Resource management processes that lead to value creation for customers are not yet fully understood. This paper sheds light on managerial decisions regarding the processes of structuring, bundling and leveraging of external resources that possess knowledg ...
This chapter looks at the opportunities and uncertainties of globalisation in terms of the production of world knowledge, with an emphasis on the factors that limit the distribution and fair use of this knowledge for the benefit of less advanced countries. ...
In this work, we draw attention to a connection between skill-based models of game outcomes and Gaussian process classification models. The Gaussian process perspective enables a) a principled way of dealing with uncertainty and b) rich models, specified t ...
The product development process (PDP) is a complex process encompassing many very diverse activities, and involving a fairly big number of actors, spread across different professions, teams and companies. In todayâs product development, more often than n ...
This chapter discusses the factors that influence the development aspirations of skilled Indians living in Europe and those who have returned to India. While India is seen as a country that benefits from the positive effects of skilled migration, it lacks ...
A large and growing body of empirical research shows that social relationships and the networks these relationships constitute are influential in explaining the processes of knowledge creation, diffusion, absorption and use. We refer to such networks as 'k ...
The chapter is based on new empirical data collected through primary surveys and in-depth interviews with Indian skilled migrants in Europe and with returnees in India. The study found that Indian skilled professionals, scientists and students are contribu ...
In this paper we introduce a budgeted knowledge transfer algorithm for non-homogeneous reinforcement learning agents. Here the source and the target agents are completely identical except in their state representations. The algorithm uses functional space ...
Open ended learning is a dynamic process based on the continuous analysis of new data, guided by past experience. On one side it is helpful to take advantage of prior knowledge when only few information on a new task is available (transfer learning). On th ...
