matrix = [[1, 2, 3], [4,5,6], [7, 8, 9]] for row in range(0, len(matrix)): for column in range(0, len(matrix[row])): ...

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Based on the distribution of words, we generated tables of 4 categories(as mentioned in the paper ... Based on these words IDs, we compute 3 adjacency matrices: same_row: if two IDs are sharing a row, ...

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The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...