| Label space |
標(biāo)記空間 |
| Lagrange duality |
拉格朗日對偶性 |
| Lagrange multiplier |
拉格朗日乘子 |
| Laplace smoothing |
拉普拉斯平滑 |
| Laplacian correction |
拉普拉斯修正 |
| Latent Dirichlet Allocation/LDA |
隱狄利克雷分布 |
| Latent semantic analysis |
潛在語義分析 |
| Latent variable |
隱變量 |
| Law of large number |
大數(shù)定理 |
| Layer-wise Adaptive Rate Scaling/LARS |
層級對應(yīng)的適應(yīng)率縮放 |
| Lazy learning |
懶惰學(xué)習(xí) |
| Leaky ReLU |
滲漏整流線性單元 |
| Learner |
學(xué)習(xí)器 |
| Learning by analogy |
類比學(xué)習(xí) |
| Learning rate |
學(xué)習(xí)率 |
| Learning Vector Quantization/LVQ |
學(xué)習(xí)向量量化 |
| Least squares regression tree |
最小二乘回歸樹 |
| Leave-One-Out/LOO |
留一法 |
| Lebesgue-integrable |
勒貝格可積 |
| Left eigenvector |
左特征向量 |
| Leibniz’s rule |
萊布尼茲法則 |
| Linear Discriminant Analysis/LDA |
線性判別 |
| Linear model |
線性模型 |
| Linear Regression |
線性回歸 |
| Linear threshold units |
線性閥值單元 |
| Link function |
聯(lián)系函數(shù) |
| Local conditionalprobability distribution |
局部條件概率分布 |
| Local contrast normalization |
局部對比度歸一化 |
| Local curvature |
局部曲率 |
| Local Markov property |
局部馬爾可夫性 |
| Local minimum |
局部最小 |
| Log likelihood |
對數(shù)似然 |
| Log odds/logit |
對數(shù)幾率 |
| Logistic Regression |
Logistic 回歸 |
| Log-likelihood |
對數(shù)似然 |
| Log-linear regression |
對數(shù)線性回歸 |
| Long-Short Term Memory/LSTM |
長短期記憶 |
| Long-term dependency |
長期依賴 |
| Loopy belief propagation |
環(huán)狀信念傳播 |
| Loss function |
損失函數(shù) |
| Low rank matrix approximation |
低秩矩陣近似 |
