The Priority R-tree is a worst-case asymptotically optimal alternative to the spatial tree R-tree. It was first proposed by Arge, De Berg, Haverkort and Yi, K. in an article from 2004. The prioritized R-tree is essentially a hybrid between a k-dimensional tree and a r-tree in that it defines a given object's N-dimensional bounding volume (called Minimum Bounding Rectangles - MBR) as a point in N-dimensions, represented by the ordered pair of the rectangles. The term prioritized arrives from the introduction of four priority-leaves that represents the most extreme values of each dimensions, included in every branch of the tree. Before answering a window-query by traversing the sub-branches, the prioritized R-tree first checks for overlap in its priority nodes. The sub-branches are traversed (and constructed) by checking whether the least value of the first dimension of the query is above the value of the sub-branches. This gives access to a quick indexation by the value of the first dimension of the bounding box. (Wikipedia).
Introduction to R: Decision Trees
This lesson covers the basics of decision trees in R. This is lesson 29 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below: Intro to R: Decision Trees https://www.kaggle.com/hamelg/intro-to-r-part-29-Decision
From playlist Introduction to R
Finding the Tallest Tree: comparing tree-based models
Tree-based models such as decision trees, random forests, and boosted trees provide powerful predictions and are fast to compute. There are many different ways to fit these models in R, including the rpart, randomForest, and xgboost packages. During this talk, we'll examine numerous ways t
From playlist Introduction to Machine Learning
R programming for Beginners | R programming for data Science
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. This video is a
From playlist Programming
Introduction to R: Random Forests
This lesson covers the basics of random forests in R. This is lesson 30 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below: Intro to R: Random Forests https://www.kaggle.com/hamelg/intro-to-r-part-30-Random-F
From playlist Introduction to R
(ML 2.4) Growing a classification tree (CART)
How to build a decision tree for classification using the CART approach. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
How to calculate Linear Regression using R. http://www.MyBookSucks.Com/R/Linear_Regression.R http://www.MyBookSucks.Com/R Playlist http://www.youtube.com/playlist?list=PLF596A4043DBEAE9C
From playlist Linear Regression.
Decision Tree 7: continuous, multi-class, regression
Full lecture: http://bit.ly/D-Tree Decision trees are interpretable, they can handle real-valued attributes (by finding appropriate thresholds), and handle multi-class classification and regression with minimal changes.
From playlist Decision Tree
R Programming: Introduction: List data structure (R Intro-02)
[My R notebook file script is here https://github.com/bionicturtle/youtube/tree/master/r-intro] Unlike atomic vectors, list (vectors) are flexible: each element can be a different type (char, integer, numeric, logical or even a sub-list!). List[i] returns the i-th element as a list, while
From playlist R Programming: Intro
Data Structure Full Course 2023 - Part 1 | Data Structures Course Using C and C++ | Simplilearn
🔥 Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=4April2023DataStructureFullCourse2023&utm_medium=DescriptionFF&utm_source=youtube 🔥 Caltech Coding Bootcamp (US Only): https:/
From playlist Data Structures & Algorithms [2022 Updated]
Chain React 2018: The State of React Native by Ram N
React Native has been around for almost 5 years and has helped many developers build amazing Mobile Applications. In this talk, we will look at the current state of React Native with a whirlwind tool of its internals. We will also look at the upcoming changes in the architecture and how it
From playlist ChainReact 2018
🔥Data Structures and Algorithms Tutorial in C & C++ | Data Structures Full Course 2022 | Simplilearn
🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=DataStructuresFCMarch15-StCb0H84T6A&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Caltech Coding Bootcamp (US Only): https://ww
From playlist Simplilearn Live
The State of React Native (2018)
React Native has been around for almost 5 years and has helped many developers build amazing Mobile Applications. In this talk, we will look at the current state of React Native with a whirlwind tool of its internals. We will also look at the upcoming changes in the architecture and how it
From playlist Mobile Development
Data Structures and Algorithms in JavaScript - Full Course for Beginners
Learn common data structures and algorithms in this tutorial course. You will learn the theory behind them, as well as how to program them in JavaScript. ⭐️ Contents (link to code after title) ⭐️ ⌨️ Stacks (00:21) https://codepen.io/beaucarnes/pen/yMBGbR?editors=0012 ⌨️ Sets (09:03) https
From playlist Data Structures and Algorithms - Beau teaches JavaScript
Algorithms Course - Graph Theory Tutorial from a Google Engineer
This full course provides a complete introduction to Graph Theory algorithms in computer science. Knowledge of how to create and design excellent algorithms is an essential skill required in becoming a great programmer. You will learn how many important algorithms work. The algorithms are
From playlist Computer Science Concepts
🔥Data Structures and Algorithms Full Course 1 | Data Structures Tutorial in C and C++ | Simplilearn
🔥Explore our FREE Courses with Completion Certificates: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=DataStructures1FCSEP22&utm_medium=DescriptionFirstFold&utm_source=youtube This video on Data Structures and Algorithms Full Course will help you learn everything the
From playlist Simplilearn Live
🔥Software Development Course Day 1 | Data Structures & Algorithms | Software Developer | Simplilearn
🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=SoftDevCourse27March2023&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Caltech Coding Bootcamp (US Only): https://www.simplilea
From playlist Simplilearn Live
Software Development Course Day - 1 | Data Structures & Algorithms | Software Developer |Simplilearn
🔥Explore our FREE Courses with Completion Certificates: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=SoftDevCourseOct11&utm_medium=DescriptionFirstFold&utm_source=youtube This software development course is a series of live sessions where we will understand in-depth
From playlist Simplilearn Live
Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer
Learn and master the most common data structures in this full course from Google engineer William Fiset. This course teaches data structures to beginners using high quality animations to represent the data structures visually. You will learn how to code various data structures together wi
From playlist Java Tutorials
(ML 2.1) Classification trees (CART)
Basic intro to decision trees for classification using the CART approach. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning