资源列表
machine-learningPPT
- 书中主要涵盖了目前机器学习中各种最实用的理论和算法，包括概念学习、决策树、神经网络、贝叶斯学习、基于实例的学习、遗传算法、规则学习、基于解释的学习和增强学习等-The book mainly covers the current variety of the most practical machine learning theory and algorithms, including the concept of learning, decision trees, neural network
huoche
- 火车车厢排序问题 确定缓冲轨道最小数目 缓冲过程-Train carriage track buffer scheduling problems identified during the minimum number of buffer
hmok
- 概率神经网络翻译资料,较为详细的解说了PNN网络的特点和网络结构以及几种优化结构
Eight_Figure_Puzzle
- 八数码问题，采用启发项搜素，使用c++编程。-Eight digital issues, inspired items search prime, use c++ programming.
Mdvsp_4dep_500trips
- 这是关于多车辆路径问题的测试数据，这是标准库里面的数据，用来测试您提出的算法的好坏。-This is more than about the vehicle routing problem of the test data, this is the standard library data to test you the stand or fall of the proposed algorithm
bayes
- 这是一个用c++实现的贝叶斯分类器程序，可以在c++ 6.0上运行-c plus plus bayes code
imbanlace_kernel
- 基于径向基核函数的不均衡数据集的极限学习机分类源代码-Based on radial basis function unbalanced datasets Extreme Learning Machine classifier source code
machine learning
- 第5章机器学习 5.2 神经网络学习 5.3 因果信念网络学习(The fifth chapter, machine learning 5.2 neural network learning 5.3 causal beliefs online learning)
22070626
- 财经类数值算法(finacial numerical recipes),压缩包内有pdf文件和c++源码()
Recognition-activities-using-SVM
- 利用Support Vector Machine來處理對影像辨識，能判斷影像所傑取到的人是處於何種動作之下，最後並比較多種分類器之結果-Recognition of human activities using SVM multi-class classifi er,including used o-v-o,o-v-a,DAGSVM and SVM-BTA to compare.
gao
- 输入年月日，输出为本年的第几天。要求有循环嵌套-DATE input and output for this year' s first few days
Social-Profile-master冷启动
- 推荐Netflix，亚马逊系统Spotify，例如，可以推荐我们基于我们的历史的新东西，行为和我们玩什么内容。但是当一个新用户到达没有数据的系统时会发生什么呢？我们向他推荐什么？这是冷启动问题。(Recommending systems like Netflix, Spotify, amazon, for instance, can recommend us new stuff based on our history, behavior and what content we play. Bu