Threshold values of canopy reflectance indices and chloro- phyll meter readings for optimal nitrogen nutrition of tomato. Ann. Appl. Biol. 166: 271-85.Padilla, F.M.; Pena-Fleitas, M.T.; Gallardo, M.; Thompson, R.B. Threshold values of canopy reflectance indices and chlorophyll meter ...
aspect is missed in this analytical model: the distribution of the end-to-end delay. The derivation of the complete distribution of the end-to-end delay is discussed in [17] and proposed a clear and precise performance evaluation method for the total delay of the probability generating function...
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Fig. 2: Producing the accuracy and expected profit for different classification threshold values from 0 to 1 with a step size of 0.01. Input data contain the actual target class values, positive class scores predicted by a classification model, and profit matrix values. Results The interactive co...
b Average error rates for classification of the presence or absence of the signal given by the average probability of false positive and false negative outcomes, as a function of the number of shots of the protocol (see Fig. 1). For a given number of shots, the threshold for the detector...
The time course of these maturity indices is then compared with threshold values and previous data, and predicted harvest dates can be calculated for each cultivar. To reduce the enormous amount of work needed to collect and measure the samples, a fast and non-destructive alternative is needed....
The knee age is not directly observed, instead, one observes if it has passed certain threshold values a1,a2,a3,a4. Specifically, if the knee age is below a1 one observes the knee development stage 2c. If it is between a1 and a2, one observes stage 3a, etc. Covariation between the ...
In this case, we initialize the Karma initial and reference values between 0 and 200. Interestingly, the proposed scheme seems to work well also for this limit case, whereby periodic solutions could exist—as the matrix A would no longer be primitive but only row-stochastic. Again, the ...
growth to take two different values depending on whether the happiness level is higher or lower than the threshold value,γ. The impact of CA on economic growth isβ1andβ2for societies of low and high happiness levels, correspondingly. The constant and error terms are not shown for ...
19), the analysis of the previous sections applies and the optimal error rate for training is 15.87%. To test this prediction we simulated the Perceptron learning rule for a range of training error rates between 0.01 and 0.5 in steps of 0.01 (1000 simulations per error rate, 1000 trials ...