归 – phrases

Terms for subject Artificial intelligence containing 归 | all forms

Chinese	English
一级归纳	first-level induction
不确切随机归约	Unfaithful Random reduction
依码字的倒谱归一化	codeword-dependent cepstral normalization
倒谱均值归-化	Cepstrum Mean Normalization
单元归结	unit resolution
声道长度归一化	Vocal Tract Length Normalization
多元自适应回归	multivariate adaptive regression
多元自适应回归	MARS
实时递归学习	real-time recurrent learning
强非确定多项式时间图灵归约	strongly non-deterministically polynomial time Turing reduction
归一化互相关	normalized cross correlation
归一化径向基函数	Normalized Radial Basis Function
归一化的中心矩	normalized central moment
归一化距离测度	Normalized Distance Measure
归并	merging
归类式结构	subsumption architecture
归纳式学习	learning by induction
归纳式学习	inductive learning
归纳专家系统	induction expert system
归纳学习	induction learning
归纳断言	inductive assertion
归纳表	induction table
归纳逻辑规划	inductive logic programming
SLD 归结	SLD resolution
归结式	resultant
最大似然线性回归	Maximum Likelihood Linear Regression
本原递归函数	primitive recursive function
本原递归谓词	primitive recursive predicate
构造性归纳学习	constructive inductive learning
核回归	kernel regression
Gram-Schmidt 正交归化	GRam-Schmidt orthogonalization normalization
第三级归纳	third-level induction
第四级归纳	fourth-level induction
经验归纳法	empirical induction
自回归滑动平均系数	autoregression moving averaged coefficient
自回归系数	autoregression coefficient
自底下向上归纳	bottom-up-inference
自然归纳	natural deduction
话筒归一化	handset normalization (H-norm)
说话人归一化	Speaker Normalization
谱归一化	spectral normalization
递归	regression
递归多层感知器	recurrent multilayer perceptron
递归建模方法	recursive modeling method
递归方法	recursion method
递归最小平方算法	Recursive Least Square Algorithm
递归模式匹配	recursive pattern matcher
递归网络	recurrent network
<-> 递归网络状态空间模型	state-space model of recurrent network
递归贝叶斯	recursive Bayes
递归预测	recursive prediction
通用回归神经网络	General Regression Neural Network
零归一化	zero normalization (Z-norm)
非归结定理证明	nonresolution theorem proving
非尾递归循环	non-tail recursion
非线性自回归	non-linear autoregressive
面向属性的归纳方法	Attribute Oriented Induction
高斯内部归一化	internal Gaussian normalization
高斯外部归一化	external Gaussian normalization

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