虫虫首页| 资源下载| 资源专辑| 精品软件
登录| 注册

dependencies

  • Simple MVC demo,This demo app should be pretty easy to set up. There are no dependencies on databas

    Simple MVC demo,This demo app should be pretty easy to set up. There are no dependencies on databases or any other external features.

    标签: demo dependencies databas Simple

    上传时间: 2015-11-10

    上传用户:tedo811

  • Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit condi

    Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies between parts of the state to estimate. By doing so, RBPFs can improve the estimation quality while also reducing the overall computational load in comparison to original PFs. However, the computational complexity is still too high for many real-time applications. In this paper, we propose a modified RBPF that requires a single Kalman Filter (KF) iteration per input sample. Comparative experiments show that while good convergence can still be obtained, computational efficiency is always drastically increased, making this algorithm an option to consider for real-time implementations.

    标签: Particle Filters Rao-Blackwellised exploit

    上传时间: 2016-01-02

    上传用户:refent

  • Introduction to Kernel Extension Concepts 1:Hello Kernel: Creating a Kernel Extension With Xcode 2

    Introduction to Kernel Extension Concepts 1:Hello Kernel: Creating a Kernel Extension With Xcode 2:Hello I/O Kit: Creating a Device Driver With Xcode 3:Hello Debugger: Debugging a Device Driver With GDB 4:Packaging Your KEXT for Distribution and Installation 5:Loading Kernel Extensions at Boot Time 6:Kernel Extension dependencies 7:Kernel Extension Ownership and Permissions

    标签: Kernel Extension Introduction Concepts

    上传时间: 2013-12-31

    上传用户:tuilp1a

  • EDA分布估计算法经典论文

    压缩包中有5篇论文,分别为《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》这是一篇博士论文,较为详细的介绍了各种EDA算法;《Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm》《Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering》《Supplementary material for Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《基于一般二阶混合矩的高斯分布估计算法》介绍了一些基于EDA的创新算法。

    标签: EDA 分布估计算法 论文

    上传时间: 2020-05-25

    上传用户:duwenhao