Six LOFT transient tests with scram (L6-1, L6-2, L6-3, L6-7, L6-8B-1, and L6-8B-2) and two anticipated transient tests without scram (L9-3 and L9-4) have been analyzed using a best-estimate DYNODE-P/5.2 computer model. These tests span a wide range of anticipated operational ...
Finding the best predictive model for hypertensive depression in older adults based on machine learning and metabolomics researchdoi:10.3389/fpsyt.2024.1370602OLDER peopleMACHINE learningMETABOLOMICSPREDICTION modelsLIQUID chromatography-mass spectrometryObjective: Depression is a common co...
On criterion selection and noise model parametrization for prediction-error identification methods Prediction-error methods for systems with approximate noise models and a possibly non-linear dynamics are studied. It is assumed that the influence of the input on the system is parametrized in an appropri...
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award. -
Best prediction (BP) has been used in the US to calculate lactation yields of milk, fat, protein, and somatic cell score (SCS) from test day data since 199... JB Cole,JD Sattler 被引量: 0发表: 2009年 Lactation Curve Fittings of Wood's Nonlinear Model for Milk Yield, Milk Fat, Milk...
For the well-known Fay鈥揌erriot small area model, standard variance component estimation methods frequently produce zero estimates of the strictly positiv... Huilin Li a,P. Lahiri b - 《Journal of Multivariate Analysis》 被引量: 78发表: 2010年 Empirical best prediction for small-area inference...
Here we extend that approach by deriving a marker-based relationship matrix specifically for the trait of interest. Methodology/Principal Findings: In the framework of mixed model equations, a new best linear unbiased prediction (BLUP) method including a trait-specific relationship matrix (TA) was ...
[LAMDA-PILOT] PILOT: A Pre-Trained Model-Based Continual Learning Toolbox(arXiv 2023)[paper][code] [FACIL] Class-incremental learning: survey and performance evaluation on image classification(TPAMI 2022)[paper][code] [Avalanche] Avalanche: An End-to-End Library for Continual Learning(CVPR 2021...
Prediction research cannot accurately predict new world records and future best performances. In the future, prediction research should become an integrated research field consisting of different specialty areas. Researchers need to develop a better model in which random variables could be separated out ...
Mass-spectrometry-based proteomic analysis is a powerful approach for discovering new disease biomarkers. However, certain critical steps of study design such as cohort selection, evaluation of statistical power, sample blinding and randomization, and sample/data quality control are often neglected or und...