Essays about: "search algorithms"
Showing result 1 - 5 of 306 essays containing the words search algorithms.
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1. Evaluating Performance of Pattern Searching Algorithms on Wildcard Patterns
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : The pattern matching problem is the problem of finding a set of sequential characters in a text of equal amount of characters or more. There are many applications for pattern matching algorithms e.g. search engines and databases. READ MORE
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2. Implementing and comparing challengers to popular multi-objective algorithms for unit test cases generation
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : The topic of multi-objective algorithms has been researched for many years, where hundreds of multi-objective algorithms have been developed. With the field of search-based software engineering attracting use-cases, more research on which algorithms are fitting the area is still lacking. READ MORE
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3. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. READ MORE
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4. Investigations of Free Text Indexing Using NLP : Comparisons of Search Algorithms and Models in Apache Solr
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : As Natural Language Processing progresses societal and applications like OpenAI obtain more considerable popularity in society, businesses encourage the integration of NLP into their systems. Both to improve the user experience and provide users with their requested information. READ MORE
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5. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. READ MORE