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Author

Peter A. Gloor

Bio: Peter A. Gloor is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Social network analysis & Social network. The author has an hindex of 37, co-authored 211 publications receiving 4918 citations. Previous affiliations of Peter A. Gloor include University of Cologne & Union Bank of Switzerland.


Papers
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Book ChapterDOI
01 Sep 2019
TL;DR: Human behaviors play a very relevant role in many Knowledge-Intensive Processes (KIPs), as healthcare processes, where the human factors are predominantly involved.
Abstract: Human behaviors play a very relevant role in many Knowledge-Intensive Processes (KIPs), as healthcare processes, where the human factors are predominantly involved. Accordingly, health process performances, and particularly patient satisfaction, are highly affected by practitioners’ behaviors and interactions.
Book ChapterDOI
20 Oct 2022
TL;DR: In this paper , the authors propose a social compass that helps individuals navigate the social landscape of their emotions and the emotions of others to become a better member of a team, based on their moral and ethical values, their personality, and their tribes.
Abstract: Just like Google Maps shows where somebody is in the physical world, where they can go, and where the bottlenecks and traffic jams are, the "Social Compass" helps individuals navigate the social landscape of their emotions and the emotions of others to become a better member of a team. It tells individuals how they see others, how others see them, and what they can do to be happier, and more collaborative and productive. The SocialCompass can be used to find the ideal team members, based on their moral and ethical values, based on their personality, and based on their tribes. The same technology can also be used to measure emotions of horses and dogs, and to use plants as biosensors by analyzing their feedback to human movement.
Posted Content
TL;DR: In this article, the authors describe three experiments measuring interaction of humans with garden plants, in particular, body movement of a human conducting eurythmic dances near the plants (beetroots, tomatoes, lettuce) is correlated with the action potential measured by a plant SpikerBox, a device measuring the electrical activity of plants and the leaf movement of the plant, tracked with a camera.
Abstract: This paper describes three experiments measuring interaction of humans with garden plants. In particular, body movement of a human conducting eurythmic dances near the plants (beetroots, tomatoes, lettuce) is correlated with the action potential measured by a plant SpikerBox, a device measuring the electrical activity of plants, and the leaf movement of the plant, tracked with a camera. The first experiment shows that our measurement system captures external stimuli identically for different plants, validating the measurement system. The second experiment illustrates that the plants' response is correlated to the movements of the dancer. The third experiment indicates that plants that have been exposed for multiple weeks to eurythmic dancing might respond differently to plants which are exposed for the first time to eurythmic dancing.
01 Apr 2007
TL;DR: In every large company, groups of creative individuals self-organize to explore and develop ideas that they care deeply about as discussed by the authors, and these collaborative networks are called "collaborative networks".
Abstract: In every large company, groups of creative individuals self-organize to explore and develop ideas that they care deeply about. These collaborative networks o...
Proceedings ArticleDOI
06 Nov 1993
TL;DR: The authors describe Animated Algorithms, a hypermedia learning environment providing an ideal format for the visual explanation of complex algorithms contained in the book Introduction to Al algorithms by T.H. Cormen, et al. (1990).
Abstract: The authors present a multimedia system for computer science education that illustrates a new class of educational multimedia applications characterized by a seamless integration of different multimedia data types. The combination of hypertext, computer animation, and digital video results in an interactive hypermedia learning environment impossible to realize before the advent of multimedia technology. The authors describe Animated Algorithms, a hypermedia learning environment providing an ideal format for the visual explanation of complex algorithms contained in the book Introduction to Algorithms by T.H. Cormen, et al. (1990). It consists of three interactive components: a hypertext version of the book itself, animations of the most important algorithms, and movies explaining the use of the hypertext interface and the animations. >

Cited by
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01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: 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.

10,141 citations

Journal ArticleDOI
06 Jun 1986-JAMA
TL;DR: 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 her own research.
Abstract: 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

7,563 citations

Book
01 Jan 1995
TL;DR: In this article, Nonaka and Takeuchi argue that Japanese firms are successful precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies, and they reveal how Japanese companies translate tacit to explicit knowledge.
Abstract: 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.

7,448 citations

Journal ArticleDOI
TL;DR: This work investigates whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time and indicates that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others.

4,453 citations