Kruskal’s algorithm finds a Minimum Spanning Tree (MST) by building it edge by edge, always choosing the cheapest edge that doesn’t create a cycle. Sorting all edges in the graph from smallest weight ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
Community driven content discussing all aspects of software development from DevOps to design patterns. One of the Java platform’s enduring strengths has always been its ecosystem. Since the early ...
A complete Java implementation of lab exercises from the Design and Analysis of Algorithms (DAA) course (Course Code: 23CS253), aligned with the VTU syllabus. Covers brute-force, divide and conquer, ...
Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...
Abstract: “Flight route planning is a critical aspect of modern aviation, requiring optimization based on time and cost. This paper compares two pathfinding algorithms-Backtracking and Dijkstra's ...
We study the greedy (exploitation-only) algorithm in bandit problems with a known reward structure. We allow arbitrary finite reward structures, while prior work focused on a few specific ones. We ...
The answer to this simple question is not that simple. The tools that have enabled Facebook to enjoy its position are its access to massive amounts of data and its machine learning algorithms. And it ...
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