Decrease in loss during the training process. حسب Muhammad Idrees (92773)

List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. حسب Yinan Xu (12440894)

"…<p>List of network connections predictive of individual SoF values, together with their β weights, in decreasing order.…"

Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreasing order by absolute value for the cancer outcomes. حسب Eric Wang (30587)

"…The features are sorted in decreasing order by absolute value for the cancer outcomes.…"

The MAE value of the model under raw data. حسب Xiangjuan Liu (618000)

"…Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"

Three error values under raw data. حسب Xiangjuan Liu (618000)

"…Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"

The (A) logistic regression model (LRM) and (B) random forest model (RFM) with only conservation scores as independent variables (orange, yellow) show decreased model fitting metri... حسب Bushra Haque (20513785)

TITAN decreaser diatom heatmap. حسب Brent J. Bellinger (21156150)

Comparison of environmental perception time results at different learning rates. حسب Wenhui Wang (34265)

الموضوعات:

Analysis of tea output value distribution and growth- decrease rate of provinces. حسب Kun Qin (177235)

Average Heart Rate across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: Heart Rate (HR) increases from pre-interview to intervie... حسب David Vagni (8060432)

الموضوعات:

Passive sensing data. حسب Thierry Jean (20691795)

الموضوعات:

Statistic STD values of different satellite systems. حسب Jiang Li (272926)

الموضوعات:

RMSE versus learning rate. حسب Zhe Hu (787283)

"…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. …"

SHAP interpretation of the optimal machine learning model. حسب Wentao Yang (205781)

الموضوعات:

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... حسب Brent J. Bellinger (21156150)

Average Time Between Successive R-wave Peaks (RR Intervals) across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: RR decreases fr... حسب David Vagni (8060432)

الموضوعات:

Maximum IFN concentrations are decreased in severe patients. حسب Sonia T. Gazeau (21512764)

Comprehensive evaluation of machine-learning models in the training cohort. حسب Wentao Yang (205781)

الموضوعات:

Multivariate regression analysis to explain the decrease in visibility and palpability. حسب Miharu Matsumoto (21304390)

Data sets for model creation and external validation. حسب Junichi Kushioka (12236447)

الموضوعات: