| Paired t-test |
成對(duì) t 檢驗(yàn) |
| Pairwise |
成對(duì)型 |
| Pairwise Markov property |
成對(duì)馬爾可夫性 |
| Parallel tempering |
并行回火 |
| Parameter |
參數(shù) |
| Parameter estimation |
參數(shù)估計(jì) |
| Parameter Server |
參數(shù)服務(wù)器 |
| Parameter tuning |
調(diào)參 |
| Parse tree |
解析樹 |
| Partial derivative |
偏導(dǎo)數(shù) |
| Particle Swarm Optimization/PSO |
粒子群優(yōu)化算法 |
| Part-of-speech tagging |
詞性標(biāo)注 |
| Perceptron |
感知機(jī) |
| Performance measure |
性能度量 |
| Permutation invariant |
置換不變性 |
| Perplexity |
困惑度 |
| Plug and Play Generative Network |
即插即用生成網(wǎng)絡(luò) |
| Plurality voting |
相對(duì)多數(shù)投票法 |
| Polarity detection |
極性檢測 |
| Polynomial kernel function |
多項(xiàng)式核函數(shù) |
| Pooling |
池化 |
| Positive class |
正類 |
| Positive definite matrix |
正定矩陣 |
| Posterior inference |
后驗(yàn)推斷 |
| Posterior probability |
后驗(yàn)概率 |
| Post-hoc test |
后續(xù)檢驗(yàn) |
| Post-pruning |
后剪枝 |
| potential function |
勢(shì)函數(shù) |
| Power method |
冪方法 |
| Precision |
查準(zhǔn)率／準(zhǔn)確率 |
| Prepruning |
預(yù)剪枝 |
| Principal component analysis/PCA |
主成分分析 |
| Principle of multiple explanations |
多釋原則 |
| Prior knowledge |
先驗(yàn)知識(shí) |
| Probability Graphical Model |
概率圖模型 |
| Proximal Gradient Descent/PGD |
近端梯度下降 |
| Pruning |
剪枝 |
| Pseudo-label |
偽標(biāo)記 |
