Sentence examples for diverse experiment from inspiring English sources

In the Same and Diverse experiment, segregation is low and those individuals scoring poorly had inadvertently moved in to areas with slightly too high concentrations of dissimilar neighbors.

It has been proven to be reasonable to calculate the co-expression for each set of diverse experiment conditions with a clear biological meaning in ATTED-II (Obayashi et al.[2011]), supporting the possible functionality of rice abiotic and biotic co-expression network tools.

It is especially complicated in the diverse experiment known as America.

The grounded city is instead a site of diverse experiments and learning which could and should be publicly led.

In Golden Phoenix, because we are not tied to performance, we have been able to conduct diverse experiments that directly address the needs of citizens affected by disaster, like how to deal with large displaced populations, surges in patients arriving at hospitals, and reuniting families after a disaster.

In order to verify the proposed method, diverse experiments are executed to explore the efficiency, robustness, and precision.

In diverse experiments, a drastically change of precision × recall curve can be observed, illustrating the high effectiveness gains.

Eleven diverse experiments were performed for each of three radar target classes and the 11-fold cross-validation technique was exploited for target classification.

Empirical evidence from diverse experiments shows that for purposes of teaching legal argumentation and performing legal information retrieval, HYPO-style systems' lazy learning approach and implementation of aspects of reflective adjustment can be very effective.

This diversity of possibilities requires a good design of experiments and powerful data analysis tools that allow operating with multitechnique measurements and/or with diverse experiments related to different aspects of the process of interest.

The claim that our model indeed meets our requirement of intuitive adaptation is experimentally corroborated by diverse experiments with end users showing that non-NLP experts can indeed create domain lexica for our natural language interface leading to similar performance compared to lexica engineered by NLP experts.