Essays about: "Autokodare"

Showing result 1 - 5 of 13 essays containing the word Autokodare.

1. 1. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Edvard Magnell; Joakim Nordling; [2023]
   Keywords : ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

   Abstract : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. READ MORE

3. 2. Estimating Poolability of Transport Demand Using Shipment Encoding : Designing and building a tool that estimates different poolability types of shipment groups using dimensionality reduction.

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

   Author : Marvin Kërçini; [2023]
   Keywords : Poolability; Transport networks; Autoencoder; Dimensionality reduction; Vehicle Routing Problem; Raggruppabilità; Reti di trasporto; Autoencoder; Riduzione della dimensionalità; Vehicle Routing Problem; Poolbarhet; Transportnätverk; Autokodare; Dimensionsreduktion; Fordonsdirigeringsproblem;

   Abstract : Dedicating less transport resources by grouping goods to be shipped together, or pooling as we name it, has a very crucial role in saving costs in transport networks. Nonetheless, it is not so easy to estimate pooling among different groups of shipments or understand why these groups are poolable. READ MORE

4. 3. Distance preserving Fermat VAE

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

   Author : Miklovana Tuci; [2022]
   Keywords : ;

   Abstract : Deep neural networks takes their strength in the representations, or features, that they internally build. While these internal encodings help networks performing classification or regression tasks on specific data types, it exists a branch of machine learning that has for only purpose to build these representations. READ MORE

5. 4. Towards topology-aware Variational Auto-Encoders : from InvMap-VAE to Witness Simplicial VAE

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

   Author : Aniss Aiman Medbouhi; [2022]
   Keywords : Variational Auto-Encoder; Nonlinear dimensionality reduction; Generative model; Inverse projection; Computational topology; Algorithmic topology; Topological Data Analysis; Data visualisation; Unsupervised representation learning; Topological machine learning; Betti number; Simplicial complex; Witness complex; Simplicial map; Simplicial regularization.; Variations autokodare; Ickelinjär dimensionalitetsreducering; Generativ modell; Invers projektion; Beräkningstopologi; Algoritmisk topologi; Topologisk Data Analys; Datavisualisering; Oövervakat representationsinlärning; Topologisk maskininlärning; Betti-nummer; Simplicielt komplex; Vittneskomplex; Simpliciel avbildning; Simpliciel regularisering.;

   Abstract : Variational Auto-Encoders (VAEs) are one of the most famous deep generative models. After showing that standard VAEs may not preserve the topology, that is the shape of the data, between the input and the latent space, we tried to modify them so that the topology is preserved. READ MORE

6. 5. Outlier detection with ensembled LSTM auto-encoders on PCA transformed financial data

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

   Author : Love Stark; [2021]
   Keywords : Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble learning; Auto-Encoder; anomaly detection; financial data; deep learning; Principal Component Analysis PCA ; Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble lärande; Auto-Encoder; avvikelse detektering; finansiell data; djupinlärning; Principal Component Analysis PCA ;

   Abstract : Financial institutions today generate a large amount of data, data that can contain interesting information to investigate to further the economic growth of said institution. There exists an interest in analyzing these points of information, especially if they are anomalous from the normal day-to-day work. READ MORE