...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

... @CiroSantilli六四事件法轮功包卓轩 Unless you choose to include anything after the first dot... but then people create file names with dots, so yeah, either way is error prone, agreed on that. – Luc Feb 25 '16 a...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...

...拟合。然而随着训练集的增大，低偏差/高方差的分类器将开始具有优势（它们拥有更低的渐近误差），因为高偏差分类器对于提供准确模型不那么给力。 You can also think of this as a generative model vs. discriminative model distinction. 你也...