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In this article we discuss the statistical models implemented in BGLR (Statistical Models, Algorithms, and Data), present several examples based on real and simulated data (Application Examples), and provide benchmarks of computational time and memory usage for a linear model (Benchmark of Parametric Models).
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An expanded database of accurate interfacial area concentration measurements at higher pressures would allow further improvement of the model benchmark and expansion of the range of applicability of the model.
This is recognised in the government's 2005 funding model, benchmarked to the number of qualified staff employed and a collective agreement linked to pay parity (Ministry of Education, 2005).
Thus, the model provides a benchmark of the information present in the stimulus set to perform the expression categorization task.
Manandhar and Tang (2002) categorized DEA models for benchmarking of bank branches into "operating efficiency", "service quality efficiency", and "profitability efficiency".
In Smith et al [1] the model observer provides a benchmark of the information that the face signals about each expression.
Several of our models benchmarked here are multi-task, however for simplicity we grouped the different methods on underlying machine learning algorithm.
The nucleation rates obtained from the presented model agree well with experimentally obtained values and those of a numerical model which serves as a benchmark of our code.
Expected vehicles will include fuel-sipping models that achieve the European benchmark of less than 100g of CO2 emitted per kilometer as well as cars with a top speed of 300kph (186mph).
Furthermore, through the rigorous assessment of the plaid model a benchmark for future evaluation of biclustering methods is established.
In this 'proof-of-concept' study, vascular function was characterized in the murine collagen-induced arthritis (mCIA) model, the benchmark choice for evaluation of the pathological processes and assessment of new therapies.
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