Essays about: "Online learning algorithms"
Showing result 16 - 20 of 85 essays containing the words Online learning algorithms.
-
16. Minimizing the expected opportunity loss by optimizing the ordering of shipping methods in e-Commerce using Machine Learning
University essay from KTH/Matematik (Avd.)Abstract : The shopping industry is rapidly changing as the technology is advancing. This is especially true for the online industry where consumers are nowadays able to to shop much of what the need over the internet. READ MORE
-
17. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. READ MORE
-
18. Investigating MOOCs with the use of sentiment analysis of learners' feedback. What makes great MOOCs across different domains?
University essay from Linnéuniversitetet/Institutionen för informatik (IK)Abstract : Recently, distance education has become popular and has gotten much attention. Information and Communication Technology advances fostered distance learning creation and enabled individuals to participate in the education process via various web-based platforms and study entirely online. Thus, the notion of e-learning and distance learning emerged. READ MORE
-
19. Graph Bandits : Multi-Armed Bandits with Locality Constraints
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multi-armed bandits (MABs) have been studied extensively in the literature and have applications in a wealth of domains, including recommendation systems, dynamic pricing, and investment management. On the one hand, the current MAB literature largely seems to focus on the setting where each arm is available to play at each time step, and ignores how agents move between the arms. READ MORE
-
20. Labyrinth Navigation Using Reinforcement Learning with a High Fidelity Simulation Environment
University essay from Linköpings universitet/ReglerteknikAbstract : This is a master thesis on the subject of navigation and control using reinforcementlearning, more specifically discrete Q-learning. The Q-learning algorithmis used to develop a steer policy from training inside of a simulation environment.The problem is to navigate a steel ball through a maze made from walls and holes. READ MORE
