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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

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Twitter mood predicts the stock market.

We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. These algorithms have been implemented in Condor, a software system for predictive search and analysis of the Web and especially social networks.We illustrate our approach by qualitatively comparing Web buzz and our Web betweenness for the 2008 US presidential elections, as well as correlating the Web buzz index with share prices.

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Web Science 2.0: Identifying Trends Through Semantic Social Network Analysis

We develop a method to create taxonomies in large social networks solely based on users group membership information. We illustrate our technique using an example of the Flickr photo sharing network. This photo sharing community is a social network that enables users to collectively store digital pictures, interact and form groups of interest. Based on our earlier research of success indicators for individual actors on the Flickr Community, we extend the focus to groups of interest. Introducing the metric “GroupConnectivity” we perform a community segmentation. We then develop a method to automatically create taxonomies without the need for folksonomies or pre-existing ontologies.

/pdf/deriving-taxonomies-from-automatic-analysis-of-group-1w8ex5pkvw.pdf

Deriving taxonomies from automatic analysis of group membership structure in large social networks

More and more user-generated content is complementing conventional journalism. While we don't think that CNN or New York Times and its professional journalists will disappear anytime soon, formidable competition is emerging through humble Wikipedia editors. In earlier work (Becker 2012), we found that entertainment and sports news appeared on average about two hours earlier on Wikipedia than on CNN and Reuters online. In this project we build a news-reader that automatically identifies late-breaking news among the most recent Wikipedia articles and then displays it on a dedicated Web site.

WikiPulse - A News-Portal Based on Wikipedia

We describe a preliminary experiment to track the emotions of actors and audience in a theater play through machine learning and AI. During a 40-min play in Zurich, eight actors were equipped with body-sensing smartwatches. At the same time, the emotions of the audience were tracked anonymously using facial emotion tracking. In parallel, also the emotions in the voices of the actors were assessed through automatic voice emotion tracking. This paper demonstrates a first fully automated and privacy-respecting system to measure both audience and actor satisfaction during a public performance.

Measuring Audience and Actor Emotions at a Theater Play Through Automatic Emotion Recognition from Face, Speech, and Body Sensors

The high-speed growth of emerging economies attracts the attention of global investors, but the uncertain institutional environment in emerging and transitional economies makes investors uneasy. Using China’s venture capital (VC) data, this article examines the performance consequences of differences in ownership between foreign and local investors, and network position established when VC firms (VCs) syndicate portfolio company investments. There is a phenomenon of separate institutional settings between China’s local VCs and foreign VCs in China, which makes ownership significantly affect investment performance. The VCs’ positions in the collaborative networks can play a mediating role; foreign VCs have better investment performance because of their more central-network position. Better-networked VCs can supplement or replace formal institutions in transitional economies.

Peter A. Gloor

Papers

Web Science 2.0: Identifying Trends Through Semantic Social Network Analysis

Deriving taxonomies from automatic analysis of group membership structure in large social networks

WikiPulse - A News-Portal Based on Wikipedia

Measuring Audience and Actor Emotions at a Theater Play Through Automatic Emotion Recognition from Face, Speech, and Body Sensors

Resilience Through Collaborative Networks in Emerging Economies: Evidence from Chinese Venture Capital