spoj dtree. Count the number of distinct elements in a given range. Usage is done using fenwick trees. Offline algorithm for queries
标签： distinct elements fenwick number
上传时间： 2014-01-20
上传用户：lhw888
Very good Java Applet used to animate Inserting, Deleting and Searching (Preorder & Postorder algorithm) nodes in Binary trees. This is a part of mine students project. You can use and redistribute the source code absolutelly free!
标签： Inserting Searching Postorder Deleting
上传时间： 2014-01-25
上传用户：虫虫虫虫虫虫
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
标签： foundations The consists sections
上传时间： 2017-06-22
上传用户：lps11188
SwingX是一个包含Swing GUI工具包的扩展控件，为富客户端应用提供很多很棒的组件。值得注意的功能包括： 1。提供tables, trees, 和 lists的排序，过滤，高亮功能 2。查找/搜索 3。登录/验证架构 4。提供TreeTable组件 5。日期选择组件
标签： GUI android开发
上传时间： 2015-04-20
上传用户：kongxincai1210
Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model- agnosticmethodsforinterpretingblackboxmodelslikefeatureimportanceandaccumulatedlocal effects and explaining individual predictions with Shapley values and LIME.
标签： interpretable-machine-learning
上传时间： 2020-06-10
上传用户：shancjb
