Sentence examples for benchmarks and challenges from inspiring English sources

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Recent benchmarks and challenges have highlighted the good performance of methods which formalize the GRN inference problem as a regression and feature selection problem, namely, identifying a small set of TF whose expression levels are sufficient to predict the expression level of each TG of interest.

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Both Mr. Hancock and Mr. Tritle point out, too, that liturgical music from Ockeghem to Palestrina to Bach presents models, benchmarks and, indeed, challenges for succeeding generations.

In addition to benchmarking, limitations and challenges of using WCA and aspirational peers are also discussed.

Although existing benchmark tasks and challenges [8 10] mainly focus on the noise robustness issue and sometimes only in a single-channel scenario, a particular novelty of the REVERB challenge is that it is carefully designed to test robustness against reverberation, based on both single-channel and multichannel recordings made under moderately noisy environments.

Even though most existing benchmark tasks and challenges for distant speech processing focus on the noise robustness issue and sometimes only on a single-channel scenario, a particular novelty of the REVERB challenge is that it is carefully designed to test robustness against reverberation, based on both real, single-channel, and multichannel recordings.

Our results provide a measure, a benchmark, and a challenge for the development of effective curricula in this very important part of biology.

Academics and industry practitioners discussed results from a global benchmark study assessing the drivers and challenges behind global sourcing decisions.

We discuss different strategies that can be used to optimize benchmarking, including crowdsourcing and challenge-based benchmarking10,11,12.

The limitations and challenges of competition-based benchmarking have been reviewed elsewhere10,39,40,41. Challenge-based benchmarking was pioneered by Critical Assessment of protein Structure Prediction42, the first community-wide contest held in 1994 to assess protein structure prediction methods.

The findings are as follows: (1) open issues and challenges to evaluation and benchmarking are emphasized; and (2) decision making using multiple criteria such as reliability, time complexity, and error rate within a dataset is used for evaluating and benchmarking real-time skin detectors to come up with solutions for future directions.

We present results and analysis for a wide range of algorithms on this benchmark, and discuss future challenges for the emerging field of streaming analytics.

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