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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.

The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups

In this project we aim to analyze “honest signals” between Jazz musicians by using sociometric badges with the goal of identifying structural properties of self-organizing creative teams. In particular, we are interested in the pre-requisites for “flow,” the state of work where “time flies,” and workers are at their most-productive best. We extend the concept of individual “flow” as defined by Csikszentmihalyi (Flow: the psychology of optimal experience. Harper Row, New York, 1990) to the group level (Sawyer in Group creativity: music, theater, collaboration. Psychology Press, Oxford, 2003; Group genius: the creative power of collaboration. Basic Books, New York, 2007), trying to identify some of the conditions indicative of the group flow state. We speculate that a band of Jazz musicians is particularly well suited to study group flow, because they are an archetype of a self-organizing creative team, involved in highly creatively work while passing leadership of the tune for the solo part from one band member to the next.

/pdf/jazzflow-analyzing-group-flow-among-jazz-musicians-through-3lt5osxjqv.pdf

JazzFlow—Analyzing “Group Flow” Among Jazz Musicians Through “Honest Signals”

You are who remembers you. Detecting leadership through accuracy of recall

In this paper, we describe the goals, organization and content of a global project course we have taught for the last six years, as well as challenges and lessons learned The course has involved two to four sites and 30-40 students each year, both from Europe and the US The students form project teams spanning several sites, and jointly perform creative tasks, thus learning both the course substance, as well as how to effectively work together in multicultural and multi-disciplinary distributed teams We hope that our experiences described in this paper will help and encourage other universities to organize globally distributed project courses In the future, we plan to continue working with this course, as well as search partners to develop a global software engineering project course together with other universities

/pdf/teaching-a-global-project-course-experiences-and-lessons-5a9e95r7k7.pdf

Teaching a global project course: experiences and lessons learned

In the information economy, individuals’ work performance is closely associated with their digital communication strategies. This study combines social network and semantic analysis to develop a me...

Peter A. Gloor

Papers

The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups

JazzFlow—Analyzing “Group Flow” Among Jazz Musicians Through “Honest Signals”

You are who remembers you. Detecting leadership through accuracy of recall

Teaching a global project course: experiences and lessons learned

Finding top performers through email patterns analysis