Essays about: "network inference"

Showing result 11 - 15 of 134 essays containing the words network inference.

  1. 11. Diffusion-based Vocoding for Real-Time Text-To-Speech

    University essay from Lunds universitet/Matematisk statistik

    Author : Lukas Gardberg; [2023]
    Keywords : Diffusion; Vocoding; Text-to-Speech; Machine Learning; Mathematics and Statistics;

    Abstract : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. READ MORE

  3. 12. Inferring Gene regulatory networks using Graph Neural Networks

    University essay from KTH/Genteknologi

    Author : Sohta Makino; [2023]
    Keywords : Graph Attention Network; Gene regulatory Network; Transcription; Data Science; Machine learning; Genreglering; transkription; dataanalys; Inferens; maskininlärning;

    Abstract : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. READ MORE

  4. 13. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gianluca Ruberto; [2023]
    Keywords : Knowledge Graphs; Link Prediction; Machine Learning; Microservice Tracing; Kunskapsdiagram; länkförutsägelse; maskininlärning; mikroservicespårning;

    Abstract : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. READ MORE

  5. 14. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Oskar Nilsson; Benjamin Lilje; [2023]
    Keywords : Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

    Abstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE

  6. 15. Investigation of 8-bit Floating-Point Formats for Machine Learning

    University essay from Linköpings universitet/Datorteknik

    Author : Theodor Lindberg; [2023]
    Keywords : Floating-Point; 8-bit floating-point; FP8; vector instructions; Machine Learning; ML; Convolutional Neural Network; CNN;

    Abstract : Applying machine learning to various applications has gained significant momentum in recent years. However, the increasing complexity of networks introduces challenges such as a larger memory footprint and decreased throughput. This thesis aims to address these challenges by exploring the use of 8-bit floating-point numbers for machine learning. READ MORE