ICML | 国际机器学习会议 | [1] |
Identity matrix | 单位矩阵 | [1] |
Image restoration | 图像复原 | [1] |
Improved iterative scaling/IIS | 改进的迭代尺度法 | [1] |
Incremental learning | 增量学习 | [1] |
Independent and identically distributed/i.i.d. | 独立同分布 | [1] |
Independent Component Analysis/ICA | 独立成分分析 | [1] |
Independent subspace analysis | 独立子空间分析 | [1] |
Indicator function | 指示函数 | [1] |
Individual learner | 个体学习器 | [1] |
Induction | 归纳 | [1] |
Inductive bias | 归纳偏好 | [1] |
Inductive learning | 归纳学习 | [1] |
Inductive Logic Programming/ILP | 归纳逻辑程序设计 | [1] |
Inequality constraint | 不等式约束 | [1] |
Information entropy | 信息熵 | [1] |
Information gain | 信息增益 | [1] |
Input layer | 输入层 | [1] |
Insensitive loss | 不敏感损失 | [1] |
Inter-cluster similarity | 簇间相似度 | [1] |
International Conference for Machine Learning/ICML | 国际机器学习大会 | [1] |
Intra-cluster similarity | 簇内相似度 | [1] |
Intrinsic value | 固有值 | [1] |
Invariance | 不变性 | [1] |
Invert | 求逆 | [1] |
Isometric Mapping/Isomap | 等度量映射 | [1] |
Isotonic regression | 等分回归 | [1] |
Iterative Dichotomiser | 迭代二分器 | [1] |