| ICML |
国际机器学习会议 |
| Identity matrix |
单位矩阵 |
| Image restoration |
图像复原 |
| Improved iterative scaling/IIS |
改进的迭代尺度法 |
| Incremental learning |
增量学习 |
| Independent and identically distributed/i.i.d. |
独立同分布 |
| Independent Component Analysis/ICA |
独立成分分析 |
| Independent subspace analysis |
独立子空间分析 |
| Indicator function |
指示函数 |
| Individual learner |
个体学习器 |
| Induction |
归纳 |
| Inductive bias |
归纳偏好 |
| Inductive learning |
归纳学习 |
| Inductive Logic Programming/ILP |
归纳逻辑程序设计 |
| Inequality constraint |
不等式约束 |
| Information entropy |
信息熵 |
| Information gain |
信息增益 |
| Input layer |
输入层 |
| Insensitive loss |
不敏感损失 |
| Inter-cluster similarity |
簇间相似度 |
| International Conference for Machine Learning/ICML |
国际机器学习大会 |
| Intra-cluster similarity |
簇内相似度 |
| Intrinsic value |
固有值 |
| Invariance |
不变性 |
| Invert |
求逆 |
| Isometric Mapping/Isomap |
等度量映射 |
| Isotonic regression |
等分回归 |
| Iterative Dichotomiser |
迭代二分器 |