Essays about: "Proprietary Algorithms"

Showing result 1 - 5 of 15 essays containing the words Proprietary Algorithms.

  1. 1. Data-Driven Solutions in VC Investments - A cross-sectional study on best-in-class data strategies within deal origination

    University essay from Göteborgs universitet/Graduate School

    Author : Robin Gerdemann; Carlos Heredia Alcaraz; [2022-07-15]
    Keywords : Venture Capital; Deal Sourcing; Corporate Venture Capital; Independent Venture Capital; Data; Data-Driven solutions; Database; Proprietary Algorithms; CRM; Unbiased Decision-Making; Volvo Group Venture Capital;

    Abstract : The development of new technologies and the innovative trends that have emerged over the last years are transforming and disrupting several traditional industries. In a world that is becoming increasingly connected and digitized, data-driven strategies have captured the interest of venture capital investors. READ MORE

  3. 2. L4S in 5G networks

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

    Author : Davide Brunello; [2020]
    Keywords : Low Latency Low Loss Scalable Throughput; Self-Clocked Rate Adaptation for Multimedia; 5G; Latency-critical application;

    Abstract : Low Latency Low Loss Scalable Throughput (L4S) is a technology which aims to provide high throughput and low latency for the IP traffic, lowering also the probability of packet loss. To reach this goal, it relies on Explicit Con- gestion Notification (ECN), a mechanism to signal congestion in the network avoiding packets drop. READ MORE

  4. 3. APPLYING MACHINE LEARNING ALGORITHMS TO DETECT LINES OF CODE CONTRIBUTING TO TECHNICAL DEBT

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Filip Isakovski; Rafael Antonino Sauleo; [2019-11-12]
    Keywords : Technical Debt; Machine Learning; Static Code Analysis;

    Abstract : This paper shows the investigation of the viability of finding lines of code (LOC) contributing to technical debt (TD) using machine learning (ML), by trying to imitate the static code analysis tool SonarQube. This is approached by letting industry professionals choose the SonarQube rules, followed by training different classifiers with the help of CCFlex (a tool for training classifiers with lines of code), while using SonarQube as an oracle (a source of training sample data) which selects the faulty lines of code. READ MORE

  5. 4. Squeezing and Accelerating Neural Networks on Resource Constrained Hardware for Real Time Inference

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

    Author : Matteo Presutto; [2019]
    Keywords : Neural Networks; Quantization; DSP; Inference; neurala nätverk; kvantisering; DSP; inferens;

    Abstract : As the internet user base increases over the years, so do the logistic difficulties of handling higher and higher volumes of data. This large amount of information is now being exploited by Artificial Intelligence algorithms to deliver value to our society on a global scale. READ MORE

  6. 5. Deep Reinforcement Learning for Adaptive Resource Allocation in Virtualized Network Functions

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

    Author : Simon Ignat; [2018]
    Keywords : ;

    Abstract : Network Function Virtualization (NFV) is the transition from proprietary hardware functions to virtualized counterparts of them within the telecommunication industry. These virtualized counterparts are known as Virtualized Network Functions (VNFs) and are the main building blocks of NFV. READ MORE