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  • uhdd.sys源码 ... DVD" cache for higher CD DVD performance Values for nn are the same as for the S switch and permit ... ;quot;User 2" cache for user drivers Values for nn are the same as for S above If Y is omitted ...
  • k-Nearest Neighbor Classification ... imperfect knowledge regarding the class membership of training patterns. The effectiveness of this classification scheme as compared to the voting and distance-weighted k-NN procedures is demonstrated using several sets of simulated and real-world data.
  • C语言 魔方阵 魔方阵,古代又称“纵横图”,是指组成元素为自然数1、2…n2的平方的n×n的方阵,其中每个元素值都不相等,且每行、每列以及主、副对角线上各n个元素之和都相等。 奇数幻方; 偶数幻方(两种):4的倍数;2(2k+1); main方法自动选择该用哪种,支持20阶以下的所有幻方; C语言,纯手写
  • 统计学习kNN算法 以著名的wine数据作为实验样本。包括k-NN算法,交叉验证,PCA降维等。-With the famous wine data as experimental samples.K- NN algorithm, cross validation, PCA dimension reduction, etc.
  • vc环境实现sift算子 ... #include <iostream h> the maximum number of keypoint NN candidates to check during BBF search #define KDTREE BBF MAX NN CHKS 200 threshold on squared ratio of distances between NN and 2nd NN #define NN SQ DIST RATIO THR 0 49 ...
  • FPGA Imlementation of RBF NN This paper presents a novel VLSI architecture for the training of radial basis function (RBF) networks.
  • DeepLearnToolbox 工具箱 包含主流机器学习代码工具箱,可以直接加载到matlab中,有NN,RBM,CNN,SAE,CAE,里面有数据和仿真,适合机器学习和深度学习开发
  • Raize.Components-v6.1.12 FullSource(2009-XE8) Part1/2 ... example, if the Time needed to be entered must have 'hh:nn:ss.zzz' and the LongTimeFormat string is set to 'hh:nn', ... example, if the Time needed to be entered must have 'hh:nn:ss.zzz' and the LongTimeFormat string is set to 'hh:nn ...
  • Raize.Components-v6.1.12 FullSource(2009-XE8) Part2/2 ... example, if the Time needed to be entered must have 'hh:nn:ss.zzz' and the LongTimeFormat string is set to 'hh:nn', ... example, if the Time needed to be entered must have 'hh:nn:ss.zzz' and the LongTimeFormat string is set to 'hh:nn ...
  • Deep Learning in neural networks An overview-85 ... FNNs and RNNs for Reinforcement Learning (RL) ..................................................................................................................................................100 6.1. RL through NN world models yields RNNs with deep CAPs ...