Essays about: "online learning algorithms"

Showing result 1 - 5 of 85 essays containing the words online learning algorithms.

1. 1. An Empirical Survey of Bandits in an Industrial Recommender System Setting

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Tobias Schwarz; Johan Brandby; [2023-09-21]
   Keywords : computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

   Abstract : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. READ MORE

3. 2. Deep Learning Based Sentiment Analysis

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Shashank Kalluri; [2023]
   Keywords : Sentiment Analysis; Word Embedding; Deep Learning;

   Abstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE

4. 3. Analyzing Toxicity in YouTube Comments with the Help of Machine Learning

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Sasan Dehkhoda; Jasmyn Ali Gunica; [2023]
   Keywords : Toxic comments; YouTube; Machine Learning; Natural Language Processing;

   Abstract : Toxic comments are overall likely to make someone feel uncomfortable and leave a discussion and are therefore potentially problematic. Toxic comments occur online on various social media, and depending on the site, get detected manually or via machine learning algorithms (or both), and removed depending on the severity and other factors. READ MORE

5. 4. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

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

   Author : Qian Zhou; [2023]
   Keywords : Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

   Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE

6. 5. Digital Front End Algorithms for Sub-Band Full Duplex

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
   Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

   Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE