Essays about: "sekventiell inlärning"

Showing result 1 - 5 of 7 essays containing the words sekventiell inlärning.

1. 1. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

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

   Author : Simon Ekman von Huth; [2023]
   Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

   Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

3. 2. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches

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

   Author : Davit Soselia; [2022]
   Keywords : Deep Learning; Continual Learning; Catastrophic Forgetting; Biomedical Image Classification; Djup inlärning; kontinuerligt lärande; katastrofal glömska; biomedicinsk bildklassificering;

   Abstract : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. READ MORE

4. 3. Online Anomaly Detection on the Edge

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

   Author : Marcus Jirwe; [2021]
   Keywords : Predictive maintenance; Anomaly detection; Online learning; Edge environment; Receiver Operating Characteristic curve; Förebyggande underhåll; anomalidetektering; sekventiell inlärning; nätverkskanten; ”Receiver Operating Characterstic”-kurva;

   Abstract : The society of today relies a lot on the industry and the automation of factory tasks is more prevalent than ever before. However, the machines taking on these tasks require maintenance to continue operating. This maintenance is typically given periodically and can be expensive while sometimes requiring expert knowledge. READ MORE

5. 4. A Novel Low Annotation-Cost Interactive Framework for Named Entity Recognition

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

   Author : Sophie Remstam; [2020]
   Keywords : ;

   Abstract : Named entity recognition (NER) is the process to sequence label an unstructured data to solve high ambiguity. It targets to identify all the named entities using predefined categories. The datasets used in domain-specific NER tasks require manual annotation. Unfortunately, the annotators are usually domain experts which can be extremely expensive. READ MORE

6. 5. Scalable Gaussian Process Regression for Time Series Modelling

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

   Author : Vidhyarthi Boopathi; [2019]
   Keywords : Distributed Machine learning; Spark; Gaussian Processes; Regression; Time series; Distribuerad maskininlärning; Spark; Gaussiska processer; Regression; Sensormodellering; Tidsserier;

   Abstract : Machine learning algorithms has its applications in almost all areas of our daily lives. This is mainly due to its ability to learn complex patterns and insights from massive datasets. With the increase in the data at a high rate, it is becoming necessary that the algorithms are resource-efficient and scalable. READ MORE