一种基于局部近邻Slope One协同过滤推荐算法

经典的Slope One算法采用线性回归模型对目标项目进行预测评分,但在项目评分偏差表构建过程中产生了部分噪声数据,影响了算法的推荐性能。为了解决该问题,建立了一种基于局部近邻Slope One协同过滤推荐算法。算法计算了当前活跃用户针对不同推荐商品的近邻用户集,其邻居用户集根据目标项目的不同而动态变化;根据活跃用户关于不同目标项目的邻居用户数据来进一步优化项目之间的平均偏差,进而产生推荐。对比实验说明,该算法在MovieLens数据集上具有较高推荐精度。     

异质环境中可靠组播的代理结构

文章提出了一种适于异质网络环境的可靠组播代理结构。这种代理结构将网络环境相异的可靠组播会话分解成若干个网络环境相似的子会话,从而缓解了异质网络环境的异构问题。不仅如此,通过在可靠组播代理中引入应用程序的语义,实现了语义可靠性,即应用程序能够根据语义控制它所需要的数据可靠性。     

Internet可靠多点投递拥塞控制研究进展

Ｉｎｔｅｒｎｅｔ可靠多点投递拥塞控制研究是当前可靠多点投递协议研究的活跃领域,许多多点投递拥塞控制机制已经提出来了。文中首先提出了Ｉｎｔｅｒｎｅｔ可靠多点投资拥塞控制的基本问题,然后概述解决这些问题的方案和遇到的困难,最后指出将来的工作方向。     

可靠组播拥塞控制

拥塞控制作为可靠组播协议的两个重要研究内容之一,已成为近几年来计算机网络与通讯领域的研究热点。分析了组播拥塞控制机制面临的基本问题,以及近几年针对这些问题提出的几种典型方案,最后指出未来的研究方向。     

基于最近邻相似度的孤立点检测及半监督聚类算法

传统的聚类算法是一种无监督的学习过程,聚类的精度受到相似性度量方式以及数据集中孤立点的影响,并且算法也没有很好的利用先验知识,无法体现用户的需求。因此提出了基于共享最近邻的孤立点检测及半监督聚类算法。该算法采用共享最近邻为相似度,根据数据点的最近邻居数目来判断是否为孤立点,并在删除孤立点的数据集上进行半监督聚类。在半监督聚类过程中加入了经过扩展的先验知识,同时根据图形分割原理对数据集进行聚类。文中使用真实的数据集进行仿真,其仿真结果表明,本文所提出的算法能有效的检测出孤立点,并具有很好的聚类效果。     

ERFT：一种增强型的可靠文件传输工具

网格数据传输组件RFT提供了可靠文件传输服务,但是GT4中的RFT仍存在不支持xml配置文件、不能进行全局优化配置、不能可视化操作等不足。在研究GT4 RFT组件的基础上,设计和实现了一个增强型的可视化可靠文件传输工具——ERFT。对大型文件的传输实验表明,ERFT继承了RFT的传统优势,同时又改进了其不足,为用户提供了更为可靠、友好的文件传输服务。     

数据交换平台数据传输器的设计与实现

为解决辽河流域水环境综合监管系统数据交换平台的数据传输问题,设计并实现一个简单实用的数据传输器组件,简单描述组件的消息结构和消息传输的具体实现,重点介绍消息传输的可靠性传输机制,最后提出基于日志的事务部分回滚策略。     

Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data

Accurate information about forest volumes is essential for forest management planning. The survey interval of the Forest Resource Inventory of China (FRIC) is too long to meet the demand for timely decision-making required for forest protection, management, and utilization. Analysis of satellite imagery provides good potential for more frequent reporting of forest parameters. In this study, we describe an application of the k-nearest neighbors (kNN) method to Landsat TM imagery for improving estimation of forest volumes. Several spectral features were tested and compared in forest volume estimations, including normalized difference vegetation index, environmental vegetation index, and the combination of the spectral features. The combined index resulted in the most accurate volume estimations. The kNN estimator and the combined index were then used in forest volume estimation. The estimation error (RMSE) of the total volume was 44.2%, much lower than those for Larix forest (the RMSE was 51.7%) and those for the Korean pine and broadleaved forests (the estimation errors were over 71.7% and 88.19%, respectively). This preliminary study demonstrates the potential of forest volume estimations with remote sensing data to provide useful information for forest management if only limited ground information is available.     

具有传感器故障的不确定系统的区域稳定可靠控制

针对具有不确定性的线性系统，考虑具有更广泛意义的传感器连续故障模型，应用修正的李亚普诺夫不等式，给出了系统区域稳定的充分条件．通过求解一组LMI完成状态反馈控制器的设计，经过仿真实例验证了结果的有效性．     

Predicting change for individual psychotherapy clients on the basis of their nearest neighbors.

This study extended client-focused research by using the nearest neighbor (NN) approach, a client-specific sampling and prediction strategy derived from research on alpine avalanches. Psychotherapy clients (N = 203) seen in routine practice settings in the United Kingdom completed a battery of intake measures and then completed symptom intensity ratings before each session. Forecasts of each client's rate of change and session-by-session variability were computed on the basis of that client's NNs (n = 10-50 in different comparisons). Alternative forecasts used linear or log-linear slopes and were compared with an alternative prediction strategy. Results showed that the NN approach was superior to the alternative model in predicting rate of change, though the advantage was less clear for predicting variability. (PsycINFO Database Record (c) 2010 APA, all rights reserved)