smoothers ahead
平滑剂前方
applying smoothers
涂抹平滑剂
best smoothers
最佳平滑剂
smoothers work
平滑剂作用
using smoothers
使用平滑剂
new smoothers
新型平滑剂
smoothers finish
平滑剂完成
added smoothers
添加平滑剂
quality smoothers
优质平滑剂
more smoothers
更多平滑剂
the data needed smoothing to reveal the underlying trend.
数据需要平滑处理以揭示潜在的趋势。
we used moving averages as simple smoothers for the time series.
我们使用移动平均值作为时间序列的简单平滑器。
kernel smoothers provide a more sophisticated approach to data smoothing.
核平滑器提供了一种更复杂的数据平滑方法。
the choice of smoother depends on the data and the desired outcome.
平滑器的选择取决于数据和期望的结果。
adaptive smoothers adjust their parameters based on the data characteristics.
自适应平滑器会根据数据特征调整其参数。
excessive smoothing can obscure important details in the data.
过度平滑可能会掩盖数据中的重要细节。
spline smoothers are often used for creating aesthetically pleasing curves.
样条平滑器通常用于创建美观的曲线。
regression smoothers can model non-linear relationships in the data.
回归平滑器可以模拟数据中的非线性关系。
the smoother's bandwidth significantly impacts the resulting curve.
平滑器的带宽会显著影响最终的曲线。
we compared the performance of different smoothers on the dataset.
我们比较了不同平滑器在数据集上的性能。
local polynomial smoothers are popular for their flexibility.
局部多项式平滑器因其灵活性而受欢迎。
smoothers ahead
平滑剂前方
applying smoothers
涂抹平滑剂
best smoothers
最佳平滑剂
smoothers work
平滑剂作用
using smoothers
使用平滑剂
new smoothers
新型平滑剂
smoothers finish
平滑剂完成
added smoothers
添加平滑剂
quality smoothers
优质平滑剂
more smoothers
更多平滑剂
the data needed smoothing to reveal the underlying trend.
数据需要平滑处理以揭示潜在的趋势。
we used moving averages as simple smoothers for the time series.
我们使用移动平均值作为时间序列的简单平滑器。
kernel smoothers provide a more sophisticated approach to data smoothing.
核平滑器提供了一种更复杂的数据平滑方法。
the choice of smoother depends on the data and the desired outcome.
平滑器的选择取决于数据和期望的结果。
adaptive smoothers adjust their parameters based on the data characteristics.
自适应平滑器会根据数据特征调整其参数。
excessive smoothing can obscure important details in the data.
过度平滑可能会掩盖数据中的重要细节。
spline smoothers are often used for creating aesthetically pleasing curves.
样条平滑器通常用于创建美观的曲线。
regression smoothers can model non-linear relationships in the data.
回归平滑器可以模拟数据中的非线性关系。
the smoother's bandwidth significantly impacts the resulting curve.
平滑器的带宽会显著影响最终的曲线。
we compared the performance of different smoothers on the dataset.
我们比较了不同平滑器在数据集上的性能。
local polynomial smoothers are popular for their flexibility.
局部多项式平滑器因其灵活性而受欢迎。
探索常用高频词汇