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 Isometric Mapping/Isomap 等度量映射 Isotonic ...
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A neural network model to describe weight gain of sheep from genes polymorphism, birth weight and birth type 实例5 AI与图像分析 image.png 3 AI在动物领域的展望 目前已经有一些专门期刊在报道AI研究: image.png 其未来的方向: image.png 目前的3R原则为: image.png 可以使用AI进行模拟(个人认为肯定不...
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Information Gain: The difference between the current entropy of a system and the entropy measured after a feature is chosen. Python Code Example from sklearn.tree import DecisionTreeClassifier # Sample data X = [[1], [2], [3], [4], [5]] y = [0, 0, 1, 1, 1] # Train a decis...
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Information gain (信息增益):在决策树中用于选择最佳划分属性的指标。 Input layer (输入层):神经网络中接收外部输入的层。 Insensitive loss (鲁棒损失):对异常值不敏感的损失函数。 Instance segmentation (实例分割):图像分割任务的一种,将图像中的每个对象实例分割成单独的部分。 Inter-cluster similarity (簇间...
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