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Under the energy constraint, only a few symbols are beneficial for training channels, while more training symbols will lead to performance degradation.
In this way, we can learn the classifiers with Algorithm 1 and train multithreading boosting cascades simultaneously in their training channels via Algorithm 2. Assuming the AUC score pools have been normalized to [0,1], we divide the range into M sub-range bins.
Also, over time, the children's life prospects improved, as training channels became better adjusted to local economic realities.
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"Drink coffee, work, learn to DJ, more work, occasionally a bit of filming [for his training channel].
The challenge is in building the developer market and training channel resellers and their customers on this new way of distribution.
The Monte Carlo simulations are conducted over a large number of trials, and the state-transition probability matrices of RS-to-train channels are chosen randomly for each trial based on different SNR thresholds.
We conduct the Monte Carlo simulations over a large number of trials, and the state-transition probability matrices of RS-to-train channels are chosen randomly for each trial based on different SNR thresholds.
The duration of one symbol is 0.1 ms. There are three states for the RS-to-train channel.
The material consisted of technical designs of individual training works, as well as plans, longitudinal profiles and cross-sections of trained channel reaches.
One example of high-speed train channel modeling contributions based on the results obtained by means of measurement campaigns is the propagation path-loss model proposed in [5].
We assume that the state of the BS-to-RS channel is good for 16QAM, since the RSs are deployed in the advantageous geographic locations, the modulation schemes of the RS-to-train channel can be BPSK, QAM, or 16QAM based on different channel states.
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