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In our paper, the proposed blind identification technique is based on a generalization of an existing method used for binary codes.
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These codes are called Welsh bound equality (WBE) codes and can be also used for binary inputs (BWBE).
We applied generalized boosted regression tree (BRT) methods using the aforementioned twenty-nine hostraitsts as predictors for binary code generated for species to host a flavivirus (generic Flavivirus model).
The authors conclude that using these binary codes for document retrieval is more accurate and faster than semantic-based analysis.
Instead, we used the binary code strategy for protein design, shown previously to facilitate the production of large combinatorial libraries of folded proteins [7], [8].
For the current studies, we used the binary code strategy to design and construct a library of sequences designed to fold into 102-residue 4-helix bundles.
For each type of feature, we used a binary coding scheme to represent the two feature levels (e.g., fast [1], slow [0]) such that each stimulus was described by a vector of four binary values.
Instead of using a code with base 3 to encode the three states, LTP uses two binary codes representing the positive and the negative components of the ternary code, i.e., two binary codes coding for the two states {-1,1}.
Instead of using a code with base 3 to encode the three states in Eq. 5, LTP uses two binary codes representing the positive and the negative components of the ternary code, i.e., two binary codes coding for the two states {−1, 1}.
To all intents and purposes, its use of binary code and Boolean algebra paved the way for the digital circuitry that is crucial to the operation of modern computers and telecommunications equipment.
The problem is basically in the code design for multilevel signal sets using binary codes on which design methodology is well established.
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