Essays about: "Beräkningsmässigt Effektiv"

Showing result 1 - 5 of 9 essays containing the words Beräkningsmässigt Effektiv.

1. 1. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

   University essay from KTH/Matematik (Avd.)

   Author : Giorgio Sacchi; [2023]
   Keywords : Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

   Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE

3. 2. Computation of Underwater Acoustic Wave Propagation Using the WaveHoltz Iteration Method

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

   Author : Paul Wall; [2022]
   Keywords : WaveHoltz iteration method; Helmholtz equation; Discontinuous Galerkin methods; Underwater acoustics.; WaveHoltziterativametod; Helmholtzekvation; DiskontinuerligaGalerkinmetoder; Undervattensakustik.;

   Abstract : In this thesis, we explore a novel approach to solving the Helmholtz equation,the WaveHolz iteration method. This method aims to overcome some ofthe difficulties with solving the Helmholtz equation by providing a highlyparallelizable iterative method based on solving the time-dependent Waveequation. READ MORE

4. 3. Distilling Multilingual Transformer Models for Efficient Document Retrieval : Distilling multi-Transformer models with distillation losses involving multi-Transformer interactions

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

   Author : Xuecong Liu; [2022]
   Keywords : Dense Passage Retrieval; Knowledge Distillation; Multilingual Transformer; Document Retrieval; Open Domain Question Answering; Tät textavsnittssökning; kunskapsdestillering; flerspråkiga transformatorer; dokumentsökning; domänlöst frågebesvarande;

   Abstract : Open Domain Question Answering (OpenQA) is a task concerning automatically finding answers to a query from a given set of documents. Language-agnostic OpenQA is an increasingly important research area in the globalised world, where the answers can be in a different language from the question. READ MORE

5. 4. Efficient Music Thumbnailing for Genre Classification

   University essay from KTH/Matematisk statistik

   Author : Adam Skärbo Jonsson; [2022]
   Keywords : Music thumbnailing; Music genre classification; Machine learning; Deep learning; Bidirectional recurrent neural network; RNN; Musikgenreklassificering; Maskininlärning; Djupinlärning; RNN;

   Abstract : For music genre classification purposes, the importance of an intelligent and content-based selection of audio samples has been mostly overlooked. One common approach toward representative results is to select samples at predetermined locations. This is done to avoid analysis of the full audio during classification. READ MORE

6. 5. An input-sample method for zonotopic obstacle avoidance with discrete-time control barrier functions

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

   Author : Xiong Xiong; [2022]
   Keywords : Control barrier functions; RRT; Discrete-time Control barrier function; Input sample; Kontrollbarriärfunktion; RRT; diskret tid Kontrollbarriärfunktion; inmatningsprov;

   Abstract : In this thesis, we consider the motion planning problem for an autonomous vehicle in an obstacle-cluttered environment approximated by zonotopes, and we propose an input sampling algorithm leveraging discrete-time control barrier function conditions (DCBF). Specifically, an optimization-based control barrier function that takes into account the geometric shapes of the vehicle and obstacles is constructed and verified. READ MORE