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Instead, choice behavior is consistent with subjective distortion of conditional probability, and this persists in treatment conditions that control for (i) computational limitations and (ii) possible confounding by ratio bias.
Then we revise scheduling techniques proposed in the literature that maximize the weighted sum rate for a multiuser MIMO OFDM system with limited feedback and compare them in a LTE 3GPP scenario in terms of (i) computational complexity, (ii) memory requirements, and (iii) achievable throughput.
The criteria for this selection process were as follows (a flow chart is shown in Figure 1B): (i) computational or experimental evidence of transcription initiation; and (ii) a length of more than 50 nt.
Our proposed MISCORE share the following three remarkable features: (i) computational efficiency due to its simplicity; (ii) free from any assumption on model dependency; and (iii) an embedability of a priori knowledge in motif scoring.
DEA has several advantages including (i) computational efficiency owing to its linear optimization structure; (ii) objectivity and consistency of results, which follows from not requiring the adjustment of parameters or assigning weights to the different performance measures; and (iii) capability of analyzing several microarray experiments with incommensurate units.
We selected four criteria to match this context: (i) computational resource and time requirements, (ii) robustness of mapping through the evaluation of precision, recall and F-measure, (iii) ability to report positions for reads in repetitive regions, and (iv) ability to retrieve true genetic variation positions.
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When UPPNEX was to invest in resources for computing and storage, two strategic decisions were made: i) UPPNEX computational resources would form part of a larger investment, resulting in a cluster shared with other scientific domains; and i i) UPPMAX would provide one large file system for all resources.
In this section, we assess the performance of the proposed method from two ways, i.e, computational complexity and parameter match.
2) For a large systems (with 3000 buses i.e) computational effort is required, for this reason a stochastic assessment of reliability is required, especially for N − 2 or N − 3 contingencies analysis.
In brief, the annotation process consists of: (i) a computational stage in which gene structures are predicted together with alignment evidence and (ii) subsequent rounds of manual annotation in which these models are improved.
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