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Reductions of 16 20 dB RMS were achieved with random noise over the bandwidth 30 650 Hz, and 20 dB with transient noise.
All these preliminary tests were achieved with random simulated choruses that have not been shaped by selective forces.
Indeed in single-species nets either the reduced number of available proteins or the reduced number of annotated nodes can negatively affect the generalization capabilities achieved with random walks or any other learning algorithm, while in multi-species networks, by construction, more nodes and more annotated proteins from other species can be available.
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Output from the MANTRA MCMC algorithm can also be used to represent the pattern of heterogeneity in allelic effects between populations, which cannot be achieved with random-effects meta-analysis.
Accurate predictions are not necessarily achieved with a random effects model (having different regression parameters compared to a standard model), because the random effects are not readily applicable in new data with new clusters and the clustering in the data may be weak resulting in minor differences between the models.
A specifying accuracy of at least 70% can be achieved with a random set of 6 of these IHC markers.
The pDFA showed that 48% of the notes in the cross-validation set could be classified correctly (versus chance at 25%) but similar performance or better could be achieved with four random groups 12% of the time.
The rates are achieved with the standard random Gaussian codebook with variance for user.
Fivefold CV results for k-NN (at k=6) and SVM (RBF kernel, σ=0.1, C=10) achieve accuracies of 75.6±2.7% and 87.4%±1.1%, respectively (table 1) both significantly higher than that achieved with the best random classifier (51.1%).
Fivefold CV results for k-NN (k=10) and SVM (RBF kernel, σ=0.1, C=10) achieve accuracies of 76.0%±1.4% and 80.8%±1.3%, respectively, both higher than that achieved with the best random classifier.
At a given target concentration, similar RT efficiencies were achieved with gene-specific primers and random hexamers, but the latter required much higher concentrations.
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