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\( P_{\text{accept}} \)

Short Description

This symbol represents the probability of accepting a proposal for the next state.

Medium Description

This symbol represents the probability that a proposal \( \htmlClass{sdt-0000000081}{\mathbf{x}^*} \) is accepted as the next state \( \htmlClass{sdt-0000000046}{\mathbf{x}}_{n+1} \) in a sampling sequence.

Long Description

The symbol \( P_{\text{accept}} \) represents the probability of accepting a proposal \( \htmlClass{sdt-0000000081}{\mathbf{x}^*} \) for the next state \( \htmlClass{sdt-0000000046}{\mathbf{x}}_{n+1} \) in a sampling sequence \( \htmlClass{sdt-0000000046}{\mathbf{x}}_1 \), \( \htmlClass{sdt-0000000046}{\mathbf{x}}_2 \), ... , \( \htmlClass{sdt-0000000046}{\mathbf{x}}_n \). This probability is formulated according to the desired sampling effects.

References

  1. Jaeger, H. (n.d.). Neural Networks (AI) (WBAI028-05) Lecture Notes BSc program in Artificial Intelligence. Retrieved June 9, 2024, from https://www.ai.rug.nl/minds/uploads/LN_NN_RUG.pdf