10 Hidden IT Risks That Might Threaten Your Business (Plus 1 Fast Way to Find Them)    

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Computational Fluid Dynamics Uncover Hidden Influences on Laboratory Benches In laboratories the safety of employees strongly depends on the successful operation of the built-in fume cupboards. For this reason, we tested

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On the Modular Inversion Hidden Number Problem San Ling Div. of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, 637371

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Scapegoat Architecture/ Landscape/ Political Economy NIGHT stubbornly embraces the hidden, illicit, clandestine, lunatic, aquatic and unconscious. Management of the NIGHT grows as it is increasingly understood as a sce

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Book review: The Hidden Wealth of Nations — FT.com, 5:35 PM International Tax

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Manipulating Trees with Hidden Labels Luca Cardelli - Microsoft Research Philippa Gardner - Imperial College London Giorgio Ghelli - Università di Pisa Abstract. We define an operational semantics and a type system for

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The Wise Brain Bulletin News and Tools for Happiness, Love, and Wisdom Vo l u m e 9 , ) Navigating Life Using the Hidden Intelligence of Our

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• Psychology
• Brain
• Academia
• Psychotherapy
• Emotions
• Emotion
• Limbic system
• Subjective experience
• Interpersonal communication
• Mind
• Personality psychology
• Curiosity

Learning Hidden Graphs and Circuits with Query Access Machine Learning Talk At University of Massachusetts Amherst Lev Reyzin

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• FO
• Finite model theory
• Dana Angluin
• Academia
• Mathematics

Layered Representations for Human Activity Recognition Nuria Oliver Eric Horvitz Adaptive Systems & Interaction Microsoft Research Redmond, WA 98052, USA

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• Markov models
• Machine learning
• Artificial intelligence
• Learning
• Layered hidden Markov model
• Speech recognition
• Hidden Markov model
• BaumWelch algorithm
• Pattern recognition
• Activity recognition
• HMMS
• Forwardbackward algorithm

A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities Nuria Oliver and Eric Horvitz Adaptive Systems & Interaction, Microsoft Research, Redmond, WA USA {nuria, horvitz}@microsoft.com Abstra

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• Markov models
• Dynamic Bayesian network
• Hidden Markov model
• Bayesian network
• Activity recognition
• Pattern recognition