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What is kruskal algorithm?

Asked by: Saanvi Trivedi
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Aarav Contractor (Talented in Eating people's Brain Hardware Fashion Positioning) From: Austin/United States

Kruskal's algorithm finds a minimum spanning forest of an undirected edge-weighted graph. Kruskal's Minimum Spanning Tree Algorithm | Greedy Algo-2 · 1. Kruskal's algorithm finds a minimum spanning forest of an undirected edge-weighted graph. Kruskal's algorithm to find the minimum cost spanning tree uses the greedy approach. Kruskal's Algorithm is used to find the minimum spanning tree for a connected weighted graph.

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Mishka Oza answered


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Saisha Raja answered


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Hem Sachdeva answered


The algorithm was designed to combat grade inflation, and was to be used to moderate the teacher-predicted grades for A level and GCSE qualifications in that year, as examinations had been cancelled as part of the response to the COVID-19 pandemic. Ofqual's A-level algorithm: why did it fail to make the grade? There is a lot we can learn from the algebraic symbols used to determine results in. Ofqual have provided a detailed technical report about the algorithm they used to determine the grades to be given for A level and GCSE. At the centre of the controversy is an algorithm devised by Ofqual to reduce inflation and maintain grade continuity, which has been accused of. So that's what Ofqual built. Ofqual said this was a more accurate way of awarding grades than simply relying on teachers' assessments.

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#Answer#

Dasya Sathe answered


DQN: A reinforcement learning algorithm that combines Q-Learning with deep neural networks to let RL work for complex, high-dimensional environments, like video games, or robotics. The learning algorithm is called Deep Q-learning. We'll use one of the most popular algorithms in RL, deep Q-learning,. DQN leverages a Neural Network to estimate the Q-value function. Finally, we will understand and implement DQN….

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Hiya Sankar answered


LRU cache stand for Least Recently Used Cache. Find the number of page faults using least recently used (LRU) page replacement algorithm with 3 page frames. It's a cache replacement algorithm that removes the least recently used data in order to make room for new data. A Least Recently Used (LRU) Cache is a cache data structure that's often. So a LRU Cache is a storage of items so that future access to those items can be serviced. How to Implement an LRU Cache (Leetcode #146 explained) // Are you.

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#Answer#

Idhant Bajaj answered


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Luv Raj answered


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#Answer#

Laksh Shroff answered


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#Answer#

Sai Anand answered


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Larisa Kibe answered


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Vihaan Bal answered


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A deep neural network (DNN) is an artificial neural network (ANN) with multiple layers between the input and output layers. Understanding Deep Learning: DNN, RNN, LSTM, CNN and R-CNN. FF-DNN for Spoken LID: Perhaps the most cited FF-DNN with an. What is Machine/Deep Learning? • Human Learning. design changes or via joint hardware design and DNN algorithm changes.

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Sai Anand answered


Abstract: SZZ is a widely used algorithm in the software engineering community to identify changes that are likely to introduce bugs (i. often rely on the SZZ algorithm as a heuristic approach to identify bug-introducing software changes. The SZZ algorithm is used to find bug-introducing commits from a set of bug- fixing commits. SZZ Unleashed: An Open Implementation of the SZZ Algorithm. The SZZ algorithm in a nutshell.

#Question# What is k means algorithm?

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Alex Bera answered


k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the. k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster. Kmeans Algorithm · Specify number of clusters K. k-means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. K means Clustering – Introduction. K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to assign a point to a cluster.

#Question# What is rijndael algorithm?

#Answer#

Gian Virk answered


Rijndael is a symmetric key encryption algorithm that's constructed as a block cipher. The Advanced Encryption Standard, also known by its original name Rijndael, is a specification for the encryption of electronic data established by the U. The name Rijndael is derived from the names of the Belgian cryptologists and originators of this encryption method, Joan Daemen and Vincent Rijmen. Rijndael (pronounced rain-dahl) is the algorithm that has been selected by the U. nominees for the new AES. During the AES selection process, developers of competing algorithms wrote of Rijndael's algorithm "we are concerned about [its] use.

#Question# What are the advantages of dda algorithm?

#Answer#

Varda Chaudry answered


Advantages of DDA Algorithm
  • It is the simplest algorithm and it does not require special skills for implementation.
  • It is a faster method for calculating pixel positions than the direct use of equation y=mx + b. .
  • Floating point arithmetic in DDA algorithm is still time-consuming.
  • The algorithm is orientation dependent.

#Question# What is lps in kmp algorithm?

#Answer#

Luv Raj answered


This algorithm campares character by character from left to right. KMP Algorithm for Pattern Searching · KMP algorithm preprocesses pat[] and constructs an auxiliary lps[] of size m (same as size of pattern) which. At first special thanks to @jianchao. This takes quite some time to understand. But what about the lps array? What is big-O of pre-calculation the lps array? We will calculate lps by dynamic programming. KMP Substring Match Algorithm (LPS array/Multiple Occurences) - Java.

#Question# What is svm algorithm?

#Answer#

Alisha Goda answered


In machine learning, support-vector machines (SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. “Support Vector Machine” (SVM) is a supervised machine learning algorithm which can be used for both classification or regression challenges. What is Support Vector Machine? The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space(N —. Support vector machines (SVMs) are powerful yet flexible supervised machine learning algorithms which are used both for classification and regression. What is Support Vector Machines (SVMs)?.

#Question# What is dijkstra algorithm?

#Answer#

Gian Virk answered


Dijkstra's algorithm is an algorithm for finding the shortest paths between nodes in a graph, which may represent, for example, road networks. Dijkstra's algorithm is very similar to Prim's algorithm for minimum spanning tree. Dijkstra's algorithm (or Dijkstra's Shortest Path First algorithm, SPF algorithm) is an algorithm for finding the shortest paths between nodes in a graph, which may represent, for example, road networks. Dijkstra's algorithm allows us to find the shortest path between any two vertices of a graph. One algorithm for finding the shortest path from a starting node to a target node in a weighted graph is Dijkstra's algorithm.

#Question# What is lbp algorithm?

#Answer#

Rohan Chandra answered


Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Local binary patterns (LBP) is a type of visual descriptor used for classification in computer. Local Binary Pattern (LBP) is a simple yet very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Local Binary Pattern (LBP) is an effective texture descriptor for images which. A primary benefit of this original LBP implementation is that we can capture extremely fine-grained details in the image. The LBP algorithm parameters control how local binary patterns are computed for each pixel in the input image.

#Question# What is cyk algorithm?

#Answer#

Nirav Bhat answered


In computer science, the Cocke–Younger–Kasami algorithm is a parsing algorithm for context-free grammars, named after its inventors, John Cocke, Daniel Younger and Tadao Kasami. From Wikipedia, the free encyclopedia. CYK Algorithm for Context Free Grammar · Construct a table DP for size n × n. YouTube TV - 85+ channels, more of your favorite shows, & unlimited DVR storage space.

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Raunak Sandal answered


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Sneha Bail answered


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#Question# What is lms algorithm?

#Answer#

Ayaan Thakur answered


Least mean squares algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean square of the error signal. Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least. The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest. The least mean-square (LMS) is a search algorithm in which a simplification of the gradient vector computation is made possible by appropriately modifying the objective function [1]–[2]. The Least Mean Square (LMS) error algorithm is an example of supervised training, in which the learning rule is provided with a set of examples of desired. LMS is a method that is based on the same principles as the met- hod of the Steepest descent, but where the statistics is estimated continuously.