Browsing Programs, Centers, and Institutes by Subject "Machine Learning"
Now showing items 1-20 of 26
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TnSeq is a genetic method used to evaluate the essentiality of genes in bacteria, such as Mycobacterium tuberculosis. It uses random insertions by the Himar1 transposon and high throughput sequencing to determine the most ...
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This research aims to investigate the impact of various Neural Architectures (NAs) on the performance of machine learning models in the context of the deterministic game of Othello, with the goal of providing insights into ...
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Record linkage is used to identify and link the same entity from one or more databases when a unique identifier is absent. As the amount of data increases largely every day, machine learning has become effective in integrating ...
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As machine learning is applied to ever more ambitious tasks, higher performance is required to be able to train and evaluate neural nets in reasonable amounts of time. To this end, many hardware accelerators for machine ...
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(2020-04-23)The objective of this project is to create a methodology to find communities of similar events based on their context, which is represented by their subevents. The similarity is measured through a new metric we propose, ...
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Previously many studies have aimed at predicting the trend of a disease through time series forecasting using machine learning methods. However, data extracted from the real world is often noisy, which can pose numerous ...
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Auxiliary Task Learning has proven to be an effective way to transfer knowledge between tasks. This is the case in many personalized recommendation scenarios, where many auxiliary tasks can boost the performance of the ...
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The advent of machine learning has changed the way healthcare providers care for their patients. Utilizing data driven models, healthcare workers are now able to predict and account for symptoms in patients before they ...
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Random forest algorithm has been used broadly in both the research field and in the industry due to its ability to tackle both categorical and numerical dataset. FPGAs also have the highest growing potential and can be ...
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With the rise of reinforcement learning, a number of physics engines and frameworks have been used to simulate virtual environments. Additionally, various benchmarks have been popularized in order to assess the ability of ...
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As road infrastructure in the United States is aging, road anomalies such as cracks, potholes, and other abnormalities are becoming much more prevalent. Currently there is no real-time understanding of the conditions of ...
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Self-Driving Cars are not only a reality today but a glimpse into how advanced and complex technology is going to be in the next century. The best and the brightest have been brought together by industry and academia ...
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(2019-02-11)Indian Classical music consists of “Ragas”. Ragas are combinations of notes in a particular order. There are 72 combinations of these notes that form the 72 parent Ragas. The names of the Ragas are written around the circle ...
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The rise in publicly available healthcare databases, such as MIMIC and the eICU, now make it possible to revolutionize medical care when paired with modern machine learning techniques. The MIMIC-IV critical care database ...
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Monte Carlo path tracing is a popular 3D rendering technique in computer graphics, but it often requires a costly tradeoff between the amount of noise in the image and computation time. Therefore, it is useful to attempt ...
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Electricity Price Forecasting (EPF) plays a vital role in smart grid applications for deregulated electricity markets. Most of the studies tend to investigate the electricity market influencers using forecasting techniques, ...
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(2015-09-21)We address the problem of controlling continuum manipulators and evaluate Reinforcement Learning to produce a control policy for a robotic platform. Our approach discretizes the state and action spaces to reduce the training ...
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(2019-04-23)For multi-lamp high flux solar simulators (HFSS), it is often difficult to obtain a required flux distribution by manipulating the lamp position of multiple lamps at once. Each lamp has three degree of freedom. Thus manual ...
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(2015-09-03)Common navigation algorithms like A* or D* Lite rely on costs to determine an optimal path. Costs may incorporate distance, time, or energy consumption; however, they can include anything that affects travel along a path. ...
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(2017-04-27)Many fatal car accidents involve victims who were not wearing a seatbelt, even though systems for detecting such behavior and intervening to correct it already exist. Activity recognition using wearable sensors has been ...