Essays about: "Tabulära data"

Found 5 essays containing the words Tabulära data.

  1. 1. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

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

    Author : Gustav Röhss; [2022]
    Keywords : ;

    Abstract : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. READ MORE

  3. 2. Flight search engine CPU consumption prediction

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

    Author : Zhaopeng Tao; [2021]
    Keywords : Flight Search Engine; Deep Neural Networks; Tabular Data; Regression; Machine Learning; Flight Schedule Embedding; Node Embedding; Graph Embedding; Line Graph Embedding; Sökmotor för flygresor; Djupa neurala nätverk; Tabulära data; Regression; Maskininlärning; Inbäddning av flygschema; Inbäddning av noder; Inbäddning av grafer; Inbäddning av linjediagram;

    Abstract : The flight search engine is a technology used in the air travel industry. It allows the traveler to search and book for the best flight options, such as the combination of flights while keeping the best services, options, and price. The computation for a flight search query can be very intensive given its parameters and complexity. READ MORE

  4. 3. On the Use of Model-Agnostic Interpretation Methods as Defense Against Adversarial Input Attacks on Tabular Data

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Anton Kanerva; Fredrik Helgesson; [2020]
    Keywords : Machine learning; deep neural networks; model interpretation; cyber security; Maskininlärning; djupa neurala nätverk; modelltolkning; cybersäkerhet;

    Abstract : Context. Machine learning is a constantly developing subfield within the artificial intelligence field. The number of domains in which we deploy machine learning models is constantly growing and the systems using these models spread almost unnoticeably in our daily lives through different devices. READ MORE

  5. 4. Multimodal Relation Extraction of Product Categories in Market Research Data

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

    Author : Philip Bergström; [2019]
    Keywords : ;

    Abstract : Nowadays, large amounts of unstructured data are constantly being generated and made available through websites and documents. Relation extraction, the task of automatically extracting semantic relationships between entities from such data, is therefore considered to have high commercial value today. READ MORE

  6. 5. Traditional Table vs. Modern Flow Map : A quantitative comparison between two information visualizations

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Hjalmar Jakobsson; Kasper Karlgren; [2017]
    Keywords : Information-visualization; human computer interaction; flow-map;

    Abstract : In today’s world we have access to endless amounts of data of varying kind. We would like to be able to display data in a way that actually feels intuitive and not intimidating. READ MORE