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行业发展研究  Context-Sensitive Semantic Smoothing for the Language Modeling Approach to Genomic IR(上下文敏感的语义平滑的语言建

Context-Sensitive Semantic Smoothing for the Language Modeling Approach to Genomic IR(上下文敏感的语义平滑的语言建模方法)

https://www.eeworm.com/dl/692/217454.html

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其他  An AHB system is made of masters slaves and interconnections. A general approach to include all poss

An AHB system is made of masters slaves and interconnections. A general approach to include all possible "muxed" implementation of multi layered AHB systems and arbitrated AHB ones can be thought as an acyclic graph where every source node is a master, every destination node is a slave and every int ...

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其他  DAGON Approach Object of this exercise: Given a subject graph and a set of pattern graph in canoni

DAGON Approach Object of this exercise: Given a subject graph and a set of pattern graph in canonical representation (2-input NAND and INV), implement the second step of DAGON approach. (Both the subject graph and the pattern graphs are trees.)

https://www.eeworm.com/dl/534/236948.html

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文件格式  We propose a novel approach for head tracking, which combines particle filters with Isomap. The part

We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle ap ...

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软件设计/软件工程  Degraded Image Analysis:An Invariant Approach一篇经典的关于不变矩的文章。

Degraded Image Analysis:An Invariant Approach一篇经典的关于不变矩的文章。

https://www.eeworm.com/dl/684/242832.html

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其他书籍  神經網路學習分類..Neural Fault Classifier for Transmission Line Protection A Modular Approach

神經網路學習分類..Neural Fault Classifier for Transmission Line Protection A Modular Approach

https://www.eeworm.com/dl/542/247420.html

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其他书籍  Computer Architecture--A Quantitative Approach.pdf

Computer Architecture--A Quantitative Approach.pdf

https://www.eeworm.com/dl/542/248056.html

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人工智能/神经网络  Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form

Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...

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数学计算  finite difference method with Crank-Nikolson approach(SOR) for American call option

finite difference method with Crank-Nikolson approach(SOR) for American call option

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文章/文档  Level Crossing Rate in Terms of the Characteristic Function: A New Approach for Calculating the Fa

Level Crossing Rate in Terms of the Characteristic Function: A New Approach for Calculating the Fading Rate in Diversity Systems

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