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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input
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queries, and automating data transformations. By combining advancements in natural language understanding, algorithm synthesis, and debugging, the proposed framework will enable developers to efficiently
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derivation of actionable insights. Identify and use suitable technologies, tools and algorithms which can be applied to research/business activities. Work with research group/business area to employ analysis
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publicly available datasets; 3) Proposing algorithms aimed at improving the accuracy of human activity detection; 4) Implementing these algorithms, evaluating their performance empirically, and comparing
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techniques for near-field microwave systems, design and test antennas/antenna arrays for near-field microwave imaging, model and simulate antenna and algorithm performance, participate in lab testing, write
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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the headspace website. Possible approaches to addressing this challenge might include: Developing algorithms to identify patterns and preferences based on service users’ previous content engagement
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to management and analysis of complex data sets. Data Management research storage, indexing and querying of complex data algorithms for managing big data efficiently at scale Big Data Processing, including
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research related to management and analysis of complex data sets. Data Management research storage, indexing and querying of complex data algorithms for managing big data efficiently at scale Big Data
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals