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文章/文档 a good material for new learners to learn java, this is one of Sun s training material.

a good material for new learners to learn java, this is one of Sun s training material.
https://www.eeworm.com/dl/652/142041.html
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单片机开发 providing learners for programming with C51, and joining in these web,hopefully finding people with

providing learners for programming with C51, and joining in these web,hopefully finding people with C51 programming so that it will can be studied each other.
https://www.eeworm.com/dl/648/167477.html
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人工智能/神经网络 AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a s

AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
https://www.eeworm.com/dl/650/273260.html
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人工智能/神经网络 This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Den

This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
https://www.eeworm.com/dl/650/365769.html
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其他 it will make it easer for learners to learn asm

it will make it easer for learners to learn asm
https://www.eeworm.com/dl/534/401503.html
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其他书籍 very useful book for new learners

very useful book for new learners
https://www.eeworm.com/dl/542/430704.html
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通讯编程文档 This is a helpful document for tinyos learners

This is a helpful document for tinyos learners
https://www.eeworm.com/dl/646/433844.html
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Java编程 It is very useful java learners.

It is very useful java learners.
https://www.eeworm.com/dl/633/467478.html
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人工智能/神经网络 Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant

Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through ...
https://www.eeworm.com/dl/650/139298.html
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行业发展研究 In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to

In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to realize outdoor independent learning for mobile learners. The mobile butterfly-watching learning system was designed in a wireless mobile ad-hoc learning environment. This is first result to provide a ...
https://www.eeworm.com/dl/692/200864.html
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