A New Study on the Distribution System of Higher Learning Resources

With a background in child education, Athwal has learning resources readily available around her family's home, but never pushed Kashe in any particular direction.

拥有幼儿教育背景的阿斯瓦尔在家中有很多现成的学习资源，但是她从未给卡什设定特别的学习方向。

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SVM is a learning machine for small sample data with strong extensive use and no over learning problem because of the structure risk minimization.

支持向量机是一种专门针对小样本的学习机器，由于以结构风险最小化原则为基础，克服了神经网络中的过学习等缺点，具有很强的泛化能力。

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The learning machine has the development direction of multidisciplinary, multifunctional and specialization, not only as an English learning machine.

学习机的形式不再局限于英语学习的范畴，而是朝着多学科、多功能和专业化的方向发展。

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Complex toys, such as children bicycles, walkers, computer learning machine should use, and detailed notes.

复杂的玩具，如儿童自行车、学步车、电脑学习机等，应有详细的使用方法及注意事项。

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The paper presents a study of the artificial neural networks ( ANN) learning machine which is based on the fault detecting expert system.

根据故障诊断专家系统的特点，设计了一种面向故障诊断问题的机器学习系统。

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In the neural network based method, a semi-blind channel estimation technique based on extreme learning machine for MIMO-OFDM systems is proposed.

在神经网络估计方法中，本文提出了一种基于极限学习机的半盲信道估计方法，在该算法中，极限学习机被作为一个信道估计器来估计信道的冲激响应。

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And the birth of learning machine changed our traditional ways of learning, especially replaced reading book which is made of paper.

学习机的诞生和普及，改变了人们传统的获取信息的方式，尤其改变了从纸质的书本获取知识的方式。

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Numerical analysis testified that these fuzzy models can effectively control the influence of each sample on learning machine according to its confidence.

数值分析证明本文建立的模糊支撑向量机模型可根据数据置信度大小有效的控制各数据在学习机中的作用。

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Structural Risk Minimization for Controlling Generalization Performance of Rough Set Learning Machine flyers for roving frames

粗糙集学习机器泛化性能控制的结构风险最小化方法

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Design of Learning Machine with Double 51-core Chips

基于双芯51内核的学习机设计

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Supervised outlier detection based on Mahalanobis ellipsoidal learning machine

基于马氏椭球学习机的监督野点探测

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The confidence learning machine is put forward based on Kolmogorov's algorithmic theory of randomness.

根据Kolmogorov算法随机性理论，描述定义了具有置信判别能力的置信学习机器。

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PDC PROLOG Based Self Learning Machine Game

基于PDC-PROLOG自学习机器博弈

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Efficiency Optimization of New Stator-doubly-fed Doubly Salient Motor by Using Extreme Learning Machine

利用极端学习机的新型定子双馈电双凸极电机效率优化

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Machine Learning MACHINE INVENTION Design of bucket elevator

斗式提升机的设计

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Confidence Learning Machine Based on Algorithmic Theory of Randomness and Dissimilarity Description

基于算法随机性理论和奇异描述的置信学习机器

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This scheme is used successfully in the remote control system of a MIDI music learning machine.

该方案已被成功地应用于MIDI音乐学习机的遥控系统。

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Application of prior-knowledge-bearing learning machine in biological sequence analysis

含先验信息的学习机在生物序列分析中的应用

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Its main idea is to control learning machine's generalization ability by controlling its model complexity.

该理论的核心思想是通过控制学习机器的复杂度，实现对推广能力的控制。

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Support vector machine algorithms control the capacity of learning machine by support vectors.

支持向量机算法通过支持向量控制学习机器的容量。

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