Noise and nonstationarity will stunt the epsilon machine and they are the main problems to be researched in the future.
實驗發現，噪聲污染和過程非平穩是ε機處理方法中的主要障礙，它們將是我們以後工作的重點。
The difference is less than epsilon.
這個差異小於ε。
We need to consider epsilon when calculating the error margin.
在計算誤差範圍時，我們需要考慮ε。
The algorithm converges when the epsilon threshold is reached.
當達到ε閾值時，算法收斂。
Epsilon is a small positive constant.
ε是一個小正常數。
The epsilon neighborhood of a point in a metric space.
度量空間中點的ε鄰域。
The epsilon-delta definition of a limit in calculus.
微積分中極限的ε-δ定義。
The epsilon-greedy strategy in reinforcement learning.
在強化學習中的ε-貪心策略。
The epsilon parameter in machine learning models.
機器學習模型中的ε參數。
The epsilon constraint method in optimization problems.
在優化問題中的ε約束方法。
Epsilon is often used to represent a small quantity.
ε通常用來表示一個小量。
Noise and nonstationarity will stunt the epsilon machine and they are the main problems to be researched in the future.
實驗發現，噪聲污染和過程非平穩是ε機處理方法中的主要障礙，它們將是我們以後工作的重點。
The difference is less than epsilon.
這個差異小於ε。
We need to consider epsilon when calculating the error margin.
在計算誤差範圍時，我們需要考慮ε。
The algorithm converges when the epsilon threshold is reached.
當達到ε閾值時，算法收斂。
Epsilon is a small positive constant.
ε是一個小正常數。
The epsilon neighborhood of a point in a metric space.
度量空間中點的ε鄰域。
The epsilon-delta definition of a limit in calculus.
微積分中極限的ε-δ定義。
The epsilon-greedy strategy in reinforcement learning.
在強化學習中的ε-貪心策略。
The epsilon parameter in machine learning models.
機器學習模型中的ε參數。
The epsilon constraint method in optimization problems.
在優化問題中的ε約束方法。
Epsilon is often used to represent a small quantity.
ε通常用來表示一個小量。
探索常見搜尋詞彙