Author: walterstiers
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Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly increasing. Surprisingly, the development of theory and domain-specific applications often occur in isolation, risking an effective disconnect between theoretical and methodological advances and the way network science is employed in practice. . In this work, we will focus on three intimately related…
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Information theory: A foundation for complexity science
Amos Golan and John Harte published a perspective paper, consolidating the insights and research on knowledge and models from incomplete information in complex environments, based on MaxEnt Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting…
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“decrease the mental-self-processing & a synchronization with the interoceptive and exteroceptive-self-processing”.
I stated in a previous post the insight into our neurology of meditation, in order to attain our goal to keep it simple, but often fail to realize it. I already suggested, we need “to kill our darlings” in order to be open to the full context of the terrain we’re exposed to. A recent paper…
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Only then we will be on the right track.
This is more a kind of “look what is available for you all”,Open Acces and available as pdf download: Luiz Pessoa published his latest book “The Entangled Brain: How Perception, Cognition, and Emotion Are Woven Together” And, yes, the conclusion is very valuable: Ultimately, to explain the cognitive-emotional brain, we need to dissolve boundaries within the…
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Beliefs and Inference
Beliefs are propositions about the true states of the world.Active inference—a process theory based on the free energy principle—describes how an agent forms and updates beliefs.The active inference framework posits that the agent (i) observes the world, (ii) infers the causes of the observations, and (iii) forms beliefs about the external states of the world.…
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Technology readiness levels for machine learning systems
The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. Lack of diligence can lead to technical debt, scope creep and misaligned objectives, model misuse and failures, and expensive consequences. Engineering systems, on the other hand, follow well-defined processes and testing standards…
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Statistics: Are you Bayesian or Frequentist?
Cats bring success – they are ket part of the internet traffic and enjoyment. So let me show a great pic: The real purpose of the cats-pics (delivered by a dog person) is the great video and article from Cassie Kozyrkov What is the difference between Bayesian and Frequentist statistics? (demonstrated with one single coin…
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Cynefin – Sensemaking
Het Cynefin® framework werd als “sensemaking” door Dave Snowden ontwikkeld vanuit een natuur-wetenschappelijke insteek, met als een doel projecten te laten evolueren vanuit de bestaande toestand, en de mogelijke evoluties in te schatten, in plaats van een vooraf gedefinieerd einddoel te fixeren. Cynefin® is in wezen een beslissingsondersteunend kader (framework), geen methode of model.Het is…
