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When using the ML technique to track frequency offset, one needs to have the channel knowledge.
We will thus seek an alternative approach using the ML technique to be described next.
In this article, rather than using the ML technique, we apply the method of least squares (LS) to perform fine frequency tracking utilizing repeated OFDM training blocks.
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This study further encompasses the possibility to use the ML-based techniques to determine PACE4 status in tumors.
While both methods appeared to be effective, a slightly more accurate result is obtained using the direct ML estimation technique in this case.
However, our control values of BV in the contralateral region (2.2±0.6 ml.100 g−1) were notably smaller than those found in normal rat striatum using the same technique (3.1±0.7 ml.100 g−1) (Julien-Dolbec et al, 2002).
Given an input problem, the proposed architecture uses a ML technique to suggest an initial Pareto front of SVM configurations based on previous similar learning problems; the suggested Pareto front is then refined by a multi-objective optimization algorithm.
After locating the epidural space using the LORA technique (approximately 3 ml of air), the patient developed a sudden intense frontal headache.
Using Machine Learning (ML) techniques, we uncovered the chromatin signals that associate significantly with the splicing regulation of the pre-mRNA comparing these two cell lines, which leads us to describe a chromatin-based RNA-map that explains nearly 70% of all the regulated alternative splicing events between the two cell lines.
Before and after each exercise period (and after 30 min of exercise at 55%% of Wmax), a muscle biopsy was obtained from vastus lateralis in the working leg under local analgesia (2 3 ml lidocaine, 20 mg/ml) using the Bergström technique applied with suction.
The remaining 5 ml were cold seeded using the same technique.
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