Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 10 of 10 for “"Automated Learning"”.

  1. Automated Learning of Load-Balancing Strategies for a Distributed Computer System

    … thesis presents SMALL (Systematic Method for Automated Learning of Load-balancing strategies), a system that learns new load indices and tunes the parameters of given migration policies. The key component of SMALL is DWG, a dynamic workload generator that allows off-line measurement of …

    uiuc Repository record for Automated Learning of Load-Balancing Strategies for a Distributed Computer System (opens in a new tab)

  2. Automated Learning of Event Coding Dictionaries for Novel Domains with an Application to Cyberspace

    … advances in natural language processing and deep learning to greatly reduce the researcher-hours required to go from defining a new domain-of-interest to producing structured event data that describes that domain. An application to cybersecurity is described and both the generated dictionaries and …

    duke Repository record for Automated Learning of Event Coding Dictionaries for Novel Domains with an Application to Cyberspace (opens in a new tab)

  3. Implementation of hashed cryptography algorithm based on cryptography message syntax

    … The important study in this research is an automated learning system for deep learning to enhance security. Through system training, security can be improved. The incoming data will be checked and the system will determine whether it contains errors or false data. The system will determine …

    uthm Repository record for Implementation of hashed cryptography algorithm based on cryptography message syntax (opens in a new tab)

  4. Hyperparameter Optimization of Opaque Models for Autonomous Vehicle Algorithms

    … selection for any opaque model to enable fully automated learning. We surveyed different hyperparameter optimization algorithms, selected the most effi- cient ones in different scenarios, and developed a framework that can be easily utilized by different users. We tested our algorithm and …

    mit Repository record for Hyperparameter Optimization of Opaque Models for Autonomous Vehicle Algorithms (opens in a new tab)

  5. Algorithms for combinatorial optimization in real-time and their automated refinements by genetics-based learning

    … and (b) improving by genetics-based machine learning methods parametric heuristics used in the search algorithms designed. Our approach is a systematic method that integrates domain knowledge, search techniques, and automated learning techniques for designing better search algorithms. …

    uiuc Repository record for Algorithms for combinatorial optimization in real-time and their automated refinements by genetics-based learning (opens in a new tab)

  6. Identification et caractérisation des G-quadruplexes dans le transcriptome humain

    … realized using G4RNA Screener, a software using automated learning to classify G4. We were able to detect more than 1 100 000 regions with potential G4 across the human transcriptome corresponding to more than 308 000 unique G4 regions. An analysis of potential G4 regions was performed by type of …

    sherbrooke Repository record for Identification et caractérisation des G-quadruplexes dans le transcriptome humain (opens in a new tab)

  7. Advancing Deep Learning Efficiency: From Specialized Co-Design to Automated Generation

    … (AI) technologies, particularly large-scale deep learning models such as large language models and diffusion models, has intensified the demand for efficient full-stack inference solutions that effectively balance performance and costs. This work will present a comprehensive exploration into the …

    mit Repository record for Advancing Deep Learning Efficiency: From Specialized Co-Design to Automated Generation (opens in a new tab)

  8. Community Question Answering : an Investigation into the Influence of Question Expansion based on User's Explicit Information on Learning to Rank Q&A Models

    … answers from previous users' questions. Automated Learning-to-Rank (LTR) models for Community Question Answering (CQA) require additional explicit information to appropriately expand questions, enabling the identification of an accurate ranked list of answer candidates based on their …

    passau-thes Repository record for Community Question Answering : an Investigation into the Influence of Question Expansion based on User's Explicit Information on Learning to Rank Q&A Models (opens in a new tab)

  9. Toward meaningful communication: engineering semantics with the geometry of conceptual spaces

    … of "meaning" and a reliance on black-box machine learning models that obscure the true functionality of semantic communication modules. In this dissertation, we introduce an approach termed "semantic communication with conceptual spaces," which is based on the geometric conceptual spaces model of …

    ksu Repository record for Toward meaningful communication: engineering semantics with the geometry of conceptual spaces (opens in a new tab)

  10. Automatic Document Classification in Small Environments

    <p>Document classification is used to sort and label documents. This gives users quicker access to relevant data. Users that work with large inflow of documents spend time filing and categorizing them to allow for easier procurement. The Automatic Classification and Document Filing (ACDF) system …

    calpoly Repository record for Automatic Document Classification in Small Environments (opens in a new tab)