Essays about: "Heuristiker"

Showing result 1 - 5 of 35 essays containing the word Heuristiker.

  1. 1. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

    Author : David Yu; [2023]
    Keywords : Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE

  3. 2. Simultaneous scheduling of railway maintenance and trains : Modelling and solving train interactions close to a maintenance operation

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

    Author : Pauline Vaillant; [2023]
    Keywords : Optimization; Linear programming; Heuristics; Railway scheduling; Maintenance planning; Optimering; Linjärprogrammering; Heuristik; Järnvägsplanering; Underhållsplanering;

    Abstract : Rail transport plays a key role in the mobility of passengers and goods. It is expected to grow the decarbonization of society. In that context, it is important to use the railway network efficiently, and jointly planning trains and network maintenance allows for better use of resources. READ MORE

  4. 3. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

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

    Author : Lucas Alava Peña; [2023]
    Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

    Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE

  5. 4. Interaction Aware Decision Making for Automated Vehicles Based on Reinforcement Learning

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

    Author : Ning Wang; [2022]
    Keywords : Reinforcement Learning; Automated Vehicles; Decision-making; Rollout; Driver Behaviour Modeling; Trajectory Prediction; Förstärkningsinlärning; automatiserade fordon; beslutsfattande; utrullning; modellering av förarbeteende; banförutsägelse;

    Abstract : Decision-making is one of the key challenges blocking full autonomy of automated vehicles. In highway scenarios, automated vehicles are expected to be aware of their surroundings and make decisions by interacting with other road participants to drive safely and efficiently. READ MORE

  6. 5. Evaluating network generation algorithms for decentralized social media platforms

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

    Author : Nicky Obreykov; [2021]
    Keywords : Centrality; centralization; decentralized; network analysis; network generation; social media platform;

    Abstract : With the large amount of personal data being shared on social media platforms, there is an increased security risk involved. Individuals are reliant on companies keeping their promises of securely handling personal data. READ MORE