smoothers ahead
Traditional Chinese_translation
applying smoothers
Traditional Chinese_translation
best smoothers
Traditional Chinese_translation
smoothers work
Traditional Chinese_translation
using smoothers
Traditional Chinese_translation
new smoothers
Traditional Chinese_translation
smoothers finish
Traditional Chinese_translation
added smoothers
Traditional Chinese_translation
quality smoothers
Traditional Chinese_translation
more smoothers
Traditional Chinese_translation
the data needed smoothing to reveal the underlying trend.
資料需要平滑處理以顯示底層趨勢。
we used moving averages as simple smoothers for the time series.
我們使用移動平均作為時間序列的簡單平滑器。
kernel smoothers provide a more sophisticated approach to data smoothing.
核平滑器提供一種更先進的數據平滑方法。
the choice of smoother depends on the data and the desired outcome.
選擇平滑器取決於數據和期望的結果。
adaptive smoothers adjust their parameters based on the data characteristics.
自適應平滑器根據數據特徵調整其參數。
excessive smoothing can obscure important details in the data.
過度平滑可能會掩蓋數據中的重要細節。
spline smoothers are often used for creating aesthetically pleasing curves.
樣條平滑器常用於創建視覺上 pleasing 的曲線。
regression smoothers can model non-linear relationships in the data.
回歸平滑器可以用於建模數據中的非線性關係。
the smoother's bandwidth significantly impacts the resulting curve.
平滑器的帶寬會顯著影響產生的曲線。
we compared the performance of different smoothers on the dataset.
我們比較了不同平滑器在數據集上的表現。
local polynomial smoothers are popular for their flexibility.
局部多項式平滑器因其靈活性而受到歡迎。
smoothers ahead
Traditional Chinese_translation
applying smoothers
Traditional Chinese_translation
best smoothers
Traditional Chinese_translation
smoothers work
Traditional Chinese_translation
using smoothers
Traditional Chinese_translation
new smoothers
Traditional Chinese_translation
smoothers finish
Traditional Chinese_translation
added smoothers
Traditional Chinese_translation
quality smoothers
Traditional Chinese_translation
more smoothers
Traditional Chinese_translation
the data needed smoothing to reveal the underlying trend.
資料需要平滑處理以顯示底層趨勢。
we used moving averages as simple smoothers for the time series.
我們使用移動平均作為時間序列的簡單平滑器。
kernel smoothers provide a more sophisticated approach to data smoothing.
核平滑器提供一種更先進的數據平滑方法。
the choice of smoother depends on the data and the desired outcome.
選擇平滑器取決於數據和期望的結果。
adaptive smoothers adjust their parameters based on the data characteristics.
自適應平滑器根據數據特徵調整其參數。
excessive smoothing can obscure important details in the data.
過度平滑可能會掩蓋數據中的重要細節。
spline smoothers are often used for creating aesthetically pleasing curves.
樣條平滑器常用於創建視覺上 pleasing 的曲線。
regression smoothers can model non-linear relationships in the data.
回歸平滑器可以用於建模數據中的非線性關係。
the smoother's bandwidth significantly impacts the resulting curve.
平滑器的帶寬會顯著影響產生的曲線。
we compared the performance of different smoothers on the dataset.
我們比較了不同平滑器在數據集上的表現。
local polynomial smoothers are popular for their flexibility.
局部多項式平滑器因其靈活性而受到歡迎。
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