Sökning: "distance learning"
Visar resultat 16 - 20 av 559 uppsatser innehållade orden distance learning.
16. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
17. Point Cloud Registration using both Machine Learning and Non-learning Methods : with Data from a Photon-counting LIDAR Sensor
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Point Cloud Registration with data measured from a photon-counting LIDAR sensor from a large distance (500 m - 1.5 km) is an expanding field. Data measuredfrom far is sparse and have low detail, which can make the registration processdifficult, and registering this type of data is fairly unexplored. LÄS MER
18. Beyond the blueprint : a critical view on plans for transit-oriented development (TOD) in the new indonesian capital
Master-uppsats, SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Sammanfattning : Indonesia is relocating its capital city from Jakarta to a new city built from scratch called IKN (Ibu Kota Negara/Nusantara). Starting with the prioritized Government Precinct, the full relocation will be completed by 2045. LÄS MER
19. Exploration of Alternative Image Representation Using Signed Distance Functions
Master-uppsats, Lunds universitet/Institutionen för designvetenskaperSammanfattning : This project leverages the core concepts of differentiable rendering to find alternative representation of images using geometric primitives rendered with Signed Distance Functions. By utilising gradient-descent-based methods it is possible to find optimal parameters of rendered primitives to create high-quality reconstruction. LÄS MER
20. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. LÄS MER