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An Extension Of Combinatorial Contextuality For Cognitive Protocols
Through this formalisation, we extend the combinatorial approach to support a measurement and treatment of disturbance, and offer techniques to separately distinguish noise and causal influences.
Kernel Method based on Non-Linear Coherent State
In this paper, by mapping datasets to a set of non-linear coherent states, the process of encoding inputs in quantum states as a non-linear feature map is re-interpreted.
Construction of 'Support Vector' Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra
This paper uses deformed coherent states, based on a deformed Weyl-Heisenberg algebra that unifies the well-known SU(2), Weyl-Heisenberg, and SU(1, 1) groups, through a common parameter.
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