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The experimentDescription focuses on a classification of experiments according to the methods used.
Considering these two components we propose a two-axis classification of experiments, with axes: 1.
To achieve the goal of a classification of experiments in terms of replacement cost, it would be tempting to use monetary approaches.
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Figure 1 shows our classification of experiment actions according to their goals.
As a consequence, bicelles disobey the traditional classification of NMR experiments and notoriously cross the border between solution-state and solid-state NMR spectroscopy.
For the word classification condition of experiment 2 all items were treated as equal and entered into a single regressor model.
Regarding biological visual classification, recent series of experiments have enlightened that data classification can be realized in the human visual cortex with latencies of about 100 ms, which, considering the visual pathways latencies, is only compatible with a very specific processing architecture, described by the so-called Thorpe model.
In order to demonstrate the effects of artifacts on classifier performance, a series of classification experiments are designed using a multi-channel decision fusion classification algorithm.
We validate the efficacy of our approach through a series of classification experiments and an analytic case study.
A series of classification experiments were carried out with bands at each of the degraded spectral resolutions, and bands selected with a feature selection algorithm at the highest spectral resolution (4.6 nm).
Note that despite relatively low classification accuracies, our series of experiments replicated the successful decoding of sounds in early visual areas several times, demonstrating proof of principle and the robustness of our results across different subject and stimulus samples.
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