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The human KIN17 protein is an essential nuclear protein conserved from yeast to human and expressed ubiquitously in mammals. Suppression of Rts2, the yeast equivalent of gene KIN17, renders the cells unviable, and silencing the human KIN17 gene slows cell ...
This paper presents an SVM--based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new inf ...
Knowledge acquisition activities occurring may be just as critical to firm survival as pre-existing knowledge and experience, because knowledge acquisition activities enable the augmentation of existing knowledge and the exploration and pursuit of new stra ...
In many countries and regions, traffic infrastructure projects suffer from low funding. The budget is tight for new infrastructure building and, thus, the importance of inspection, maintenance and assessment of the existing traffic infrastructure increases ...
Facial expressions are probably the most visual method to convey emotions and one of the most powerful means to relate to each other. A typical automatic system for the recognition of facial expressions is based on a representation of the expression, learn ...
Intelligent query answering in Location-based Services refers to their capability to provide mobile users with personalized and contextualized answers. Personalization is expected to lead to answers that better match user's interests, as inferable from the ...
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 present study is part of a project aiming at empirically investigating the process of modeling the partner’s knowledge (Mutual Knowledge Modeling or MKM) in Computer-Supported Collaborative Learning (CSCL) settings. In this study, a macro-collaborative ...
This paper presents an SVM-based algorithm for the transfer of knowledge across robot platforms aiming to perform the same task. Our method exploits efficiently the transferred knowledge while updating incrementally the internal representation as new infor ...
In this paper, we examined the effect of knowledge interdependence among co-learners on knowledge convergence outcomes. Prior to collaboration, two partners read the same text in the independent condition while each of them read one of two complementary te ...
