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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.

Teaching a course on optimizing online communication behavior and social network analysis permitted us to obtain preliminary results on correlating temporal online communication patterns with team performance. Students from Helsinki University of Technology and University of Cologne who had never met face to face formed virtual interdisciplinary teams collaborating on a common task. While collaborating over long distance, students kept track of their own communication activities by e-mail, chat, and conference calls with Skype. The contribution of this paper is twofold. First, we introduce an innovative course format creating an empirical base for team performance in a distributed online communication environment. Secondly, we provide basic analysis of correlations between SNA measures and team performance. Students used these insights to optimize their own communication behavior for future virtual collaboration.

/pdf/correlating-performance-with-social-network-structure-vxrl5diegu.pdf

Correlating Performance With Social Network Structure Through Teaching Social Network Analysis

Die Struktur und Dynamik informeller Kommunikationsnetzwerke sind von zentraler Bedeutung fur das Funktionieren betrieblicher Arbeitsprozesse und beeinflussen die Leistungs- und Innovationsfahigkeit von wissensintensiven Organisationen. Wahrend sich die meisten Fuhrungskrafte dessen bewusst sind, fehlt es an (teil-)automatischen, IT-gestutzten Methoden und Instrumenten, die informelle Kommunikationsnetzwerke erfassbar machen. Wahrend die Protokollierung elektronisch vermittelter Kommunikation in den letzten Jahren deutliche Fortschritte gemacht hat, ist die Abbildung von personlichen Interaktionen nach wie vor sehr aufwandig und insbesondere bei manuellen Verfahren sehr fehleranfallig. Die Autoren zeigen in dem Beitrag, wie sich informelle Kommunikationsnetzwerke mit Hilfe von IT-gestutzten Verfahren untersuchen lassen. Dabei prasentieren sie ein Instrument („Social Badges“), das Daten uber die personliche Kommunikation automatisch und genauer erfasst, als dies mit herkommlichen Mitteln realisierbar ist. Die praktische Verwendbarkeit des Ansatzes wird anhand einer Fallstudie evaluiert.

/pdf/analyse-informeller-kommunikationsnetzwerke-am-beispiel-3w4ar3d6em.pdf

Analyse informeller Kommunikationsnetzwerke am Beispiel einer Fallstudie

Happiness has been an overarching goal of mankind at least since Aristotle spoke of Eudaimonia. However measuring happiness has been elusive and until now has almost exclusively been done by asking survey questions about self-perceived happiness. We propose a novel approach, tracking happiness and stress through changes in body signals with a smartwatch, the “Happimeter”. It predicts individual emotions from sensor data collected by an Android Wear smartwatch, such as acceleration, heartbeat, and activity. The Happimeter was used over three months in the innovation lab of a bank with 22 employees to measure individual happiness, activity, and stress. The participants were randomly divided into an experimental and a control group of similar size. Both groups wore the watch and entered their subjective happiness, activity and stress levels several times a day. The user-entered ratings were then used to train a machine learning system using the sensors of the smartwatch to subsequently automatically predict happiness, activity, and stress. The experimental group received ongoing feedback about their mood and which activity, sensor signals, or other people, made them happier or unhappier, while the control group did not get any feedback about their predicted and manually entered emotions. Just like in quantum physics we observed a “Heisenberg Effect”, where the participants made aware of their measurements changed their behavior: Members of the experimental group that received happiness feedback were 16% happier, and 26% more active than the control group at the end of the experiment. No effect was observed for stress.

https://link.springer.com/content/pdf/10.1007/s42001-020-00069-6.pdf

Measuring happiness increases happiness

This paper describes an emotion recognition system for dogs automatically identifying the emotions anger, fear, happiness, and relaxation. It is based on a previously trained machine learning model, which uses automatic pose estimation to differentiate emotional states of canines. Towards that goal, we have compiled a picture library with full body dog pictures featuring 400 images with 100 samples each for the states “Anger”, “Fear”, “Happiness” and “Relaxation”. A new dog keypoint detection model was built using the framework DeepLabCut for animal keypoint detector training. The newly trained detector learned from a total of 13,809 annotated dog images and possesses the capability to estimate the coordinates of 24 different dog body part keypoints. Our application is able to determine a dog’s emotional state visually with an accuracy between 60% and 70%, exceeding human capability to recognize dog emotions.

/pdf/predicting-dog-emotions-based-on-posture-analysis-using-3nqty7v9.pdf

Predicting Dog Emotions Based on Posture Analysis Using DeepLabCut

The article discusses the potential use of big data tools in analyzing the electronic mail exchanges between workers and clients at corporations, suggesting that shifts in electronic mail patterns can indicate potential client satisfaction declines and improve upon customer satisfaction surveys as of 2014. Topics include leadership centrality and consistency, response times, emotional language in electronic mail, and client feedback.

Peter A. Gloor

Papers

Correlating Performance With Social Network Structure Through Teaching Social Network Analysis

Analyse informeller Kommunikationsnetzwerke am Beispiel einer Fallstudie

Measuring happiness increases happiness

Predicting Dog Emotions Based on Posture Analysis Using DeepLabCut

Reading global clients' signals