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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.

This paper compares a firm's innovation and performance with its online Web presence measured through the Web network structure. 489 firms in five different industries listed on the United States and Chinese stock markets are investigated. Using Web link data collected from Bing, blogs, Twitter and Wikipedia, we find positive correlation between betweenness centrality of a firm in the Web network and its innovation capability; and between betweenness centrality and financial performance. In order to get more accurate forecasting results, regression analysis is done for each industry and the combined industries in the United States and China. We also find that Twitter and Wikipedia only predict a firm's performance in the United States, which is not surprising as they are officially blocked in China. Blogs predict better in China than they do in the United States, as it might still be a major social media tool for Chinese firms; while for the US firms, blogs have been supplemented by Twitter and Wikipedia.

/pdf/the-web-mirrors-value-in-the-real-world-comparing-a-firm-s-3cu2pd4aik.pdf

The web mirrors value in the real world: comparing a firm's valuation with its web network position

In this paper we analyze the communication network of 50 students from five universities in three countries participating in a joint course on Collaborative Innovation Networks (COINs). Students formed ten teams. Interaction variables calculated from the e-mail archive of individual team members predict the level of creativity of the team. Oscillating leadership, where members switch between central and peripheral roles is the best predictor of creativity, it is complemented by the variance in the amount of sending or receiving information, and by answering quickly, and positive language. We verify our automatically generated creativity metrics with interviews.

COINs change leaders - Lessons Learned from a Distributed Course

The IS field was born as a new discipline of artificial science out of an intellectual chaos at the time when information and communication technologies were beginning to transform modern organizations Our discipline is now at another pivotal moment as the scope of digital technology grows beyond the organizational realm The expansion of the influence of digital technology in everyday life provides a critical opportunity—and challenge—to expand the intellectual boundaries of the IS research community beyond the traditional focus of organizational computing This panel will explore the challenges and potential faced by the IS community as IS researchers seek to explore these emerging uses of information and communications technologies

https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1118&context=icis2010_submissions

Shifting boundaries: How should is researchers study non-organizational uses of ICT?

This interactive CD-ROM contains the papers and lectures presented at the 1992 DAGS Symposium, which addressed issues and obstacles in the practical implementation of parallel algorithms and the use of parallel machines, focusing on all problems that arise in parallel scientific computing.

Parallel computation : practical implementation of algorithms and machines :

In the last 14 months, COVID-19 made face-to-face meetings impossible and this has led to rapid growth in videoconferencing. As highly social creatures, humans strive for direct interpersonal interaction, which means that in most of these video meetings the webcam is switched on and people are “looking each other in the eyes”. However, it is far from clear what the psychological consequences of this shift to virtual face-to-face communication are and if there are methods to alleviate “videoconferencing fatigue”. We have studied the influence of emotions of meeting participants on the perceived outcome of video meetings. Our experimental setting consisted of 35 participants collaborating in eight teams over Zoom in a one semester course on Collaborative Innovation Networks in bi-weekly video meetings, where each team presented its progress. Emotion was tracked through Zoom face video snapshots using facial emotion recognition that recognized six emotions (happy, sad, fear, anger, neutral, and surprise). Our dependent variable was a score given after each presentation by all participants except the presenter. We found that the happier the speaker is, the happier and less neutral the audience is. More importantly, we found that the presentations that triggered wide swings in “fear” and “joy” among the participants are correlated with a higher rating. Our findings provide valuable input for online video presenters on how to conduct better and less tiring meetings; this will lead to a decrease in “videoconferencing fatigue”.

/pdf/reducing-videoconferencing-fatigue-through-facial-emotion-2a0h1q4tw6.pdf

Peter A. Gloor

Papers

The web mirrors value in the real world: comparing a firm's valuation with its web network position

COINs change leaders - Lessons Learned from a Distributed Course

Shifting boundaries: How should is researchers study non-organizational uses of ICT?

Parallel computation : practical implementation of algorithms and machines :

Reducing Videoconferencing Fatigue through Facial Emotion Recognition