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Rear view. Cheque truncation (check truncation in American English) is a cheque clearance system that involves the digitization of a physical paper cheque into a substitute electronic form for transmission to the paying bank. The process of cheque clearance, involving data matching and verification, is done using digital images instead of paper ...
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Viterbi decoder. A Viterbi decoder uses the Viterbi algorithm for decoding a bitstream that has been encoded using a convolutional code or trellis code. There are other algorithms for decoding a convolutionally encoded stream (for example, the Fano algorithm). The Viterbi algorithm is the most resource-consuming, but it does the maximum ...
Decision tree pruning. Pruning is a data compression technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the tree that are non-critical and redundant to classify instances. Pruning reduces the complexity of the final classifier, and hence improves predictive accuracy by the ...
The relation between local and global truncation errors is slightly different from in the simpler setting of one-step methods. For linear multistep methods, an additional concept called zero-stability is needed to explain the relation between local and global truncation errors.
The Check Clearing for the 21st Century Act (or Check 21 Act) is a United States federal law, Pub. L. 108–100 (text) (PDF), that was enacted on October 28, 2003 by the 108th U.S. Congress. The Check 21 Act took effect one year later on October 28, 2004. The law allows the recipient of a paper check to create a digital version of the original ...
Heckman correction. The Heckman correction is a statistical technique to correct bias from non-randomly selected samples or otherwise incidentally truncated dependent variables, a pervasive issue in quantitative social sciences when using observational data. [1] Conceptually, this is achieved by explicitly modelling the individual sampling ...
Truncation of positive real numbers can be done using the floor function. Given a number x ∈ R + {\displaystyle x\in \mathbb {R} _{+}} to be truncated and n ∈ N 0 {\displaystyle n\in \mathbb {N} _{0}} , the number of elements to be kept behind the decimal point, the truncated value of x is