The CLEF RepLab 2014 Track was the occasion to investigate the robustness of instance-based learning in a complete system for tweet monitoring and categorization based. The algorithm we implemented was a k-Nearest Neighbors. Dealing with the domain (automotive or banking) and the language (English or Spanish), the experiments showed that the categorizer was not affected by the choice of representation: even with all learning tweets merged into one single Knowledge Base (KB), the observed performances were close to those with dedicated KBs. Interestingly, English training data in addition to the sparse Spanish data were useful for Spanish categorization (+14% for accuracy for automotive, +26% for banking). Yet, performances suffered from an overprediction of the most prevalent category. The algorithm showed the defects of its virtues: it was very robust, but not easy to improve. BiTeM/SIBtex tools for tweet monitoring are available within the DrugsListener Project page of the BiTeM website (http://bitem.hesge.ch/).
We consider the problem of forecasting multiple time series across multiple cross-sections based solely on the past observations of the series. We propose to use panel vector autoregressive model to capture the inter-dependencies on the past values of the multiple series. We restrict the panel vector autoregressive model to exclude the cross-sectional relationships and propose a method to learn models with sparse Granger-causality structures coherent across the panel sections. The method extends the concepts of group variable selection and support union recovery into the panel setting by extending the group lasso penalty (Yuan & Lin, 2006) into matrix output regression setting with 3d-tensor of model parameters.
We study parametric unsupervised mixture learning. We measure the loss of intrinsic information from the observations to complex mixture models, and then to simple mixture models. We present a geometric picture, where all these representations are regarded as free points in the space of probability distributions. Based on minimum description length, we derive a simple geometric principle to learn all these models together. We present a new learning machine with theories, algorithms, and simulations.
In this study, eye tracking and mouse tracking data collected from two Swiss digital library web sites are compared, with respect to their specific areas of interest in order to answer two questions: Firstly, to know, how far the perception of the corresponding areas of interests differed from site to site and how far general recommendations can be inferred from this comparison. Secondly, the dispersion on the gaze and the mouse click plots were compared with the results of the two methods with each other to see if one method can be replaced by each other or if both methods should rather be considered as complementary. The results show that especially the choice of color and the use of contrast strongly influence gazes and clicks and that some areas of interest mainly attract views, but not clicks and vice versa, which leads to a complementary distribution pattern, and makes the question of replacing one method by the other obsolete.
In this paper we present reflections and recommendations concerning the conversion of library metadata into Linked Data. We will briefly describe the different data models that exist for this purpose and argue their strengths and weaknesses with a special focus on the entification issue, before illustrating this problem with the description of three different ongoing projects. As will be outlined afterwards, it is essential to distinguish at the start of a project between data-driven or user-driven design approaches. As an alternative, the realization of a Linked Data project for bibliographical data might also lead to a hybrid approach were the design process shifts reciprocally between the analysis of the data and the user needs.
This work introduces an unpublished technique for extracting data from flash memory chips, especially from Ball Grid Array (BGA) components. This technique does not need any heating of the chip component, as opposed to infrared or hot air de-soldering. In addition, it avoids the need of re-balling BGA in case of missing balls at the wrong place. Thus it enhances the quality and integrity of the data extraction. However, this technique is destructive for the device motherboard and has limitations when memory chip content is encrypted. The technique works by subtracting matter by micro-milling, without heating. The technique has been extensively used in about fifty real cases for more than one year. It is named frigida via, compared to the calda via of infrared heating.
To explore the meaning of “global culture” in a professional communication context, this paper explores the “unsettled” global culture of Vatel, a private business school educating students from nearly 50 different countries for the hospitality industry. This paper explores the role of knowledge management in understanding global culture, arguing that the notion of “unsettled” cultures demonstrates how ideologies function in global settings and draw on national “settled” cultural resources. In unpacking different aspects of Vatel's culture this paper questions assumptions built into cultural frames of reference by offering a global culture frame, drawing on cultural resources from country based “settled” cultural contexts, and reflects on how global cultural contexts can benefit from a knowledge management approach to this dynamic between “settled” cultural contexts and “unsettled” cultural ideologies that frame global cultural experiences. This approach to culture offers an opportunity for professional and technical communicators to reflect on global cultural contexts in the workplace.
The Swiss life sciences poster series hightlights Swiss research institutions achievements and global collaborations. It builds upon analysis of 2004-14 Web of science data.
The Swiss life sciences poster series hightlights Swiss research institutions achievements and global collaborations. It builds upon analysis of 2004-14 Web of science data.
The Swiss life sciences poster series hightlights Swiss research institutions achievements and global collaborations. It builds upon analysis of 2004-14 Web of science data.
