Sökning: "algorithm selection"

Visar resultat 21 - 25 av 327 uppsatser innehållade orden algorithm selection.

  1. 21. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Xuechun Lu; [2023]
    Nyckelord :Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

    Sammanfattning : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. LÄS MER

  3. 22. Optimization Areas of the Minimax Algorithm : A study on a look-ahead AI as applied to the Fox game

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ludwig Franklin; Hugo Malmberg; [2023]
    Nyckelord :;

    Sammanfattning : Artificial intelligence has become more prevalent during the last few years, revolutionizing the field of computer game-playing. By incorporating artificial intelligence as a computerized opponent, games can become more engaging and challenging for human players. LÄS MER

  4. 23. Simulation of p̅p->Λ̄Λ reaction for PANDA.

    Master-uppsats, Uppsala universitet/Kärnfysik

    Författare :Hrbat Arnela; [2023]
    Nyckelord :PandaRoot; ROOT; PANDA; Antiproton-proton collisions; 4-vector kinematics;

    Sammanfattning : The aim of this project was to develop an updated event selection procedure and toevaluate the performance of the procedure for the p̅p->Λ̄Λ reaction using the latestversion of the experiment software, PandaRoot, which is an offline software created forthe needs of the Panda experiment. The written algorithm was checked by comparingthe reconstructed kinematic quantities of the final and composited particles with thekinematic quantities of true particles, and by comparing our results with the resultsobtained using the previous version of PandaRoot. LÄS MER

  5. 24. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nathan Allard; [2023]
    Nyckelord :;

    Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

  7. 25. Humans in the loop - Mapping the current critical debate on AI in the Information Systems discipline

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Wibke Hannah Du Rietz; [2023]
    Nyckelord :AI; algorithm; ethics; epistemology; metatheory; IS research; sociotechnical perspective; research paradigm; critical research; literature review; content analysis; thematic analysis; abduction; abductive approach; socioanalysis; Bourdieu;

    Sammanfattning : AI is a phenomenon that does not only manifest itself as a disruptive technology, but also entails a paradigmatic shift with conceivably unprecedented and unforeseeable consequences for society and the human condition. This technology with its components Big Data and Machine Learning/algorithms has evoked critical reactions because of ethical concerns that follow on the backwash of its ubiquitous and ever more expanding use. LÄS MER