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Using Multivariate Statistics

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

http://cfile28.uf.tistory.com/attach/23159E3D57117DF7107077

Twitter mood predicts the stock market.

Designing Networks for Innovation and Improvisation

Als Navigationshilfsmittel in Hypermedia-Dokumenten wird das Konzept der verallgemeinerten Fisheye Views von Furnas vorgestellt. Anhand einer Beispielimplementation in HyperCard wird an verschiedenen Beispielen (HyperCard-Stacks) die Nutzlichkeit dieses Konzeptes aufgezeigt.

Navigation im Hyperraum: Fisheye Views in HyperCard

This paper sheds light on cultural differences in the understanding of historical military events between Chinese, English, French, German, and Swedish Wikipedia language editions. Differences in understanding historical events can lead to intercultural misinterpretation and conflicts that cause negative consequences for international relations. We identified the most important historical events, mined cross-cultural relations, investigated word usage in war-related pages and performed network, complexity, and sentiment analysis. We also analyzed the usage of war-related words and the quantity of war-related events mentioned in different languages. Our findings suggest that World War I and World War II are the most important historical events within English, French, and German cultures and English Wikipedia contains more violence and war-related content, with a higher level of complexity than other language editions.

Cultural Differences in the Understanding of History on Wikipedia

Mit unserem Forschungskommentar zeigen wir vielversprechende Forschungsrichtungen auf, die aus dem wechselseitigen Zusammenspiel von Social Media und Collective Intelligence hervorgehen. Wir konzentrieren uns auf sogenannte „Wicked Problems“ – eine Klasse von Problemen, „for which no single computational formulation of the problem is sufficient, for which different stakeholders do not even agree on what the problem really is, and for which there are no right or wrong answers, only answers that are better or worse from different points of view“ (Introne et al. in Kunstl. Intell. 27:45–52, 2013). Wir argumentieren, dass insbesondere die Disziplin Wirtschaftsinformatik einen Beitrag zur Gestaltung geeigneter Systeme leisten kann und zwar aufgrund des Nutzens, der sich aus einer kombinierten Perspektive von Social Media und Collective Intelligence ableitet. Wir legen die Relevanz und Aktualitat von Social Media und Collective Intelligence fur die Wirtschaftsinformatik dar, schlagen erforderliche Funktionalitaten von Informationssystemen fur Wicked Problems vor, beschreiben verwandte Themenfelder und Herausforderungen fur die Forschung, identifizieren wissenschaftliche Methoden zu ihrer Losung und fuhren konkrete Beispiele fur erste Forschungsergebnisse an.

Informationssysteme für „Wicked Problems“

The emergence of Web 2.0 technologies has greatly enhanced capabilities of online social networking. Flickr is a social networking platform that enables users to share digital pictures. In contrast to other social networking sites, photos are the basic unit of information exchange in Flickr. We analyse relationships between users with a data set that covers 35% of the whole Flickr community. We define metrics of success for content, content providers, the relationship between both and identify implications of having information about successful content. We establish performance criteria and examine the correlation between the performance and the connectivity of users. Based on these key metrics we identify high quality content producers for a given category.

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Peter A. Gloor

Papers

Designing Networks for Innovation and Improvisation

Navigation im Hyperraum: Fisheye Views in HyperCard

Cultural Differences in the Understanding of History on Wikipedia

Informationssysteme für „Wicked Problems“

How to Identify Successful Actors of the Flickr Community and How to Determine Their Attributes.