Essays about: "EM algorithm."
Showing result 1 - 5 of 42 essays containing the words EM algorithm..
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1. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. READ MORE
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2. Methods for determining focal point and delay for ultrasound arrays and multichannel electronics
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : High intensity focused ultrasound is a growing technique for tissue ablation, among other uses, and given its destructive capabilities, there is a need for control of where the energy is delivered. There exist a number of methods for focusing such ultrasound arrays, but these often assume prior knowledge of the impulse response, or require extensive full-system simulations. READ MORE
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3. Reconstruction of Fire Spread with a Markov Random Field Mixture Model
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis revolves around reconstructing fire sizes for historical fires in Jämtgaveln, Sweden based on data of fire scars in trees. We propose a Hidden Markov Model (HMM), where the domain is divided into quadratic grid cells of 250 $\times$ 250 m and with these grid cells we associate a binary Markov random field taking values 0 or 1 corresponding to no fire and fire respectively. READ MORE
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4. Evaluating the performance of a team consisting of an advanced agent and a less advanced agent in the game Manille : A comparison of agents trained using the CFR algorithm with and without abstractions.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Making artificial intelligence (AI) algorithms solve games has always been an interesting benchmark of AI research. Perfect information games like Chess can be played on a level beyond human capabilities. READ MORE
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5. Deep Reinforcement Learning for Card Games
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project aims to investigate how reinforcement learning (RL) techniques can be applied to the card game LimitTexas Hold’em. RL is a type of machine learning that can learn to optimally solve problems that can be formulated according toa Markov Decision Process. READ MORE
