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As an additional speedup measure we introduced the partition bypass method.
The semantic similarity measure we introduced was more efficient at validating text mining results from machine learning classifiers than other measures.
The DoND measure we introduced plays a key role in formulating this biological question mathematically.
In order to map intrinsic neuronal state to a physiologically, spike-related measure, we introduced the concept of History-Dependent Excitability (HDE), which we define as the minimal strength of a synaptic event that can cause the neuron to fire.
To address the above-described limitations of the qualitative measure, we introduced weighted internal scores to each of the 14 criteria, as presented in Table 2.
For a pair of sites, the ρ statistic is therefore equal to the correlation between the two (weighted) substitution vectors, a measure we introduced in a previous work [ 11].
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Second, the topicality measure we introduce is based on the simple idea that a news article that receives more attentions from news agencies and market participants should have a larger impact on stock prices and transaction volumes.
In the setting of point measures we introduce a damped gradient that was lacking in the multidimensional case.
Second, we examined how the measures we introduce are related with the three indicators for stock market activity (price volatility, transaction volume, and the number of transactions).
The measures we introduce attempt to completely characterize the trajectory of a fly in the experimental environment, and can thus serve as the basis for a complete behavioral model of a walking fly.
The measures we introduce are based on spatial and temporal probability distributions and utilize the entire time-series trajectory of the fly, thus emphasizing the dynamic nature of locomotor behavior.
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Justyna Jupowicz-Kozak
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