Essays about: "TL"
Showing result 21 - 25 of 63 essays containing the word TL.
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21. On the effectiveness of ß-VAEs for imageclassification and clustering : Using a disentangled representation for Transfer Learning and Semi-Supervised Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data labeling is a critical and costly process, thus accessing large amounts of labeled data is not always feasible. Transfer Learning (TL) and Semi-Supervised Learning (SSL) are two promising approaches to leverage both labeled and unlabeled samples. READ MORE
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22. Multi-Agent Motion Planning with Signal Temporal Logic Constraints
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Motion planning algorithms allow us to define a sequence of configurations to guide robots from a starting point to an ending goal while considering the environment’s and the robot’s constraints. As all robots and circumstances are different, motion planning can be adapted to fit into the system’s specifications and the user’s preferences. READ MORE
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23. Applying automatic operant boxes (“Skinner boxes”) for studies on behavioural flexibility in zebrafish (Danio rerio)
University essay from Uppsala universitet/Winberg: BeteendeneuroendokrinologiAbstract : The most successful and widely used animal models in neuroscience are rats and mice, which has been vital for the understanding of the human brain. Another model that has become more prominent during recent years is the zebrafish (Danio rerio). READ MORE
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24. On the Design of CMOS Integrated LMBA
University essay from Linköpings universitet/Elektroniska Kretsar och SystemAbstract : In this present world there is a huge requirement for high data rates and less powerconsumption in mobile networking. To achieve this one need to build a highly efficientpower amplifiers which is the most power consuming component in transmitterfront end. READ MORE
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25. Latent Representation of Tasks for Faster Learning in Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) is an field of machine learning (ML) which attempts to approach learning in an manner inspired by the human way of learning through rewards and penalties. As with other forms of ML, it is strongly dependent on large amounts of data, the acquisition of which can be costly and time consuming. READ MORE
