Non-Exactness in learning
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Non-Exactness in learning
Aspects of the non exact learning process
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What Makes User Interface Intuitive

In UI design mental model is a representation of something (real world, device, software etc.) that user has on mind. Mental model is a reflection of the reality. One creates mental model very quickly even before user faces the ...
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Bayesian Learning via Stochastic Gradient Langevin Dynamics « Statistical Modeling, Causal Inference, and Social Science

Bayesian Learning via Stochastic Gradient Langevin Dynamics http://t.co/YoR2ypY4...
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Bayesian Learning via Stochastic Gradient Langevin Dynamics | StatsBlogs.com

Bayesian Learning via Stochastic Gradient Langevin Dynamics http://t.co/sSU5TeZD...
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We Change When We Change Our Mental Representation - Sources of Insight

We Change When We Change Our Mental Representation - Sources of Insight | Non-Exactness in learning | Scoop.it
Mental representation holds our key to change. It's not what happens to us, it's how we respond, but the key in how we respond, is how we make meaning. That meaning is our internal mental representation.
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logic | metameaninglessness

It's just that, if I build a mental model of a physical system using this rule, then the predictions made by my mental model about real world turn out to be true, based on my experience. And of course, building a mental model ...
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Narrative Fallacy

The narrative fallacy addresses our limited ability to look at sequences of facts without weaving an explanation into them... Explanations bind facts together.
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Is it wrong to use a boolean parameter to determine behavior? | Q&A ...

The data is synchronous but commands are asynchronous and the command logic follows memoryless Boolean logic but with sequential commands based on memory of previous, present and desired next state. In order for ...
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UCL Discovery - Mental Models: rationality, representation and process.

UCL Discovery - Mental Models: rationality, representation and process. | Non-Exactness in learning | Scoop.it
Open Access UCL Research: Mental Models: rationality, representation and process.
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Scientists tap the genius of babies and youngsters to make computers smarter - UC Berkeley

Scientists tap the genius of babies and youngsters to make computers smarter - UC Berkeley | Non-Exactness in learning | Scoop.it
UC BerkeleyScientists tap the genius of babies and youngsters to make computers smarterUC BerkeleyHe is applying a statistical method known as Bayesian probability theory to translate the calculations that children make during learning tasks into...
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