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In particular, we formulate the signal reconstruction problem as a prototypical model matching problem where the various mappings involved belong to a class of input switching systems.
A simple solution to the H2 model matching problem, where the design parameter Q is not rational, but polynomial, is the heart of the solution method.
The semantic inference is formulated as a template matching problem, where the semantic units parsed from voice input are the "samples" to be inspected and the semantic units in the predefined library are the feature templates.
In our approach, we strengthen the linearised IP-formulation by cutting planes that are derived from facets of the corresponding matching problem where only one quadratic term is present in the objective function (QMP1).
The molecular docking problem can be regarded as the key matching problem where the lock and key are the receptor and ligand, respectively, and the goal of all the simulations is to provide an efficient way to find the approximate positions of the key and lock from a large search space or the candidate set of drugs.
The time complexity of the algorithm is O(N log N + z) where z is the number of tandem repeats in S. The details of the algorithm, which requires the direct and reverse CRG indexes to be built in a pre-processing phase, are presented in Additional file 2. The k-mismatch problem is an approximate matching problem where k mismatches are allowed.
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They maximize the reward by solving a sequence of probability matching problems, where the task parameters are chosen at each step to match a fictitious distribution determined by the average rewards experienced on the previous steps.
In this paper, we address the model matching problem for dual-rate systems where the controller output is generated at a faster rate than the measurement update rate.
Hence, while author identification can be seen as a supervised machine learning problem, alias matching is an unsupervised problem where the same supervised algorithms cannot be used.
History matching is an inverse problem where the reservoir model is modified in order to reproduce field observed data.
EGI has also also used as a global representation in [14] where the matching problem is approached vis an evolutionary optimization technique.
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