Abstract: The A* algorithm is a graph search algorithm which has shown good results in terms of computational complexity for Maximum Likelihood (ML) decoding of tailbiting convolutional codes. The ...

Abstract: A new class of A* algorithms for Viterbi phonetic decoding subject to lexical constraints is presented. This type of algorithm can be made to run substantially faster than the Viterbi ...

What the technology can do today—and what’s next by Thomas H. Davenport, Abhijit Guha and Dhruv Grewal Of all a company’s functions, marketing has perhaps the most to gain from artificial ...

For example, we may have been conditioned to think that our main goals should be accumulating wealth, creating nuclear families, or even becoming famous.” Whether through manifesting practices ...

For example, if a company can only financially afford to pay one tier of shares its dividend, it must start with its prior preferred stock issuance. Preference preferred stock is considered the ...

So, in order to make algorithm work - I have used KD Tree library from sklearn The first index of the output given by KDTree is the most nearest node to the given node. for example: if we were to find ...

Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in ...