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Auto-encoders are one kinds of promising non-probabilistic representation learning paradigms that can efficiently learn stable deterministic features.
With the development of novel paradigms that can be used for the study of various cognitive operations, saccadic eye movements in particular, have become increasingly popular.
With ever growing use of Internet for electronic commerce and data mining type applications there seems to be a need for new network computing paradigms that can overcome the barriers posed by network congestion and unreliability.
The next step is to operationalize these processes using relatively simple paradigms that can be implemented in functional imaging experiments.
However, established test paradigms that can reliably extrapolate results from animals to humans, or among animal models are rare [ 26, 27].
One major methodological issue is the difficulty of finding universally applicable paradigms that can be standardized and that are ecologically valid for the species to be compared.
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For the West — tired of trying to understand the Middle East and averse to examining its own dirty hands — sectarianism is a familiar paradigm that can be lazily borrowed from other contexts and imposed on Syria.
Resilience engineering (RE) is a new paradigm that can control incidents and reduce their consequences.
Furthermore, it provided an injection paradigm that can be used as a guide for a correct administration of onabotulinumtoxinA.
Reinforcement learning is a quite general learning paradigm that can be used to solve a large set of problems.
Based on these ideas, we suggest a change of paradigm that can be illustrated by considering a common arterial pathology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com