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This paper presents another sparsification method for the APSM approach to the online classification task by generating a sequence of linear subspaces in a reproducing kernel Hilbert space (RKHS).
The search for a local extrema θ∗can be done by iteratively evaluating the objective function and/or its derivatives at a current estimate θ(k) and by generating a sequence θ(1),θ(2),…y,θ(k) that converges to θ∗.
For instance, in InFoRNA (Busch and Backofen, 2006, 2007) the seeding was improved by generating a sequence that is maximally stable for the target structure and thus has high probability to fold into that structure.
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High-resolution mapping of the transcription start site of SCO4235 was achieved by generating a sequencing ladder with the same labelled primer as was used for the probe, using a Thermo Sequenase cycle sequencing kit (USB) according to the manufacturer's instructions.
More precisely, we generated sequence pairs by generating a first sequence using a Bernoulli model with probability 0.25 for each nucleotide.
DNA sequences were evolved to approximate mutational equilibrium by generating a random sequence and evolving until each site had experienced on average ten substitutions [ 17].
Evolver simulates data sets by generating a root sequence from user defined amino acid frequencies and then evolving this sequence along the user specified tree.
The positions of the non-zero coefficients are chosen uniformly at random in {1,..., N}, their signs are set by generating a Steinhaus sequence, and their amplitudes follow a uniform distribution in [0, 1].
The positions of the non-zero coefficients are chosen uniformly at random in {1,...,N}, their phases are set by generating a Steinhaus sequence, and their amplitudes follow a uniform distribution over [0, 1].
The simulated dataset1 was created by generating a random reference sequence of 200 kb, from which two parental strains were derived.
They are all based on parallel sequencing of immobilized targets and have revolutionized the genomics field by generating an abundance of sequencing data.
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