Browse Dept. of Computer Science by Subject "Machine learning"

  • Zhang, Aston (2017-04-20)
    The rapid growth of big data formed by human activities makes research on intention analysis both challenging and rewarding. We study multifaceted problems in analyzing intentions from big data traces of human activities, ...

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  • Zhu, Rongda (2017-04-19)
    The rapid development of modern information technology has significantly facilitated the generation, collection, transmission and storage of all kinds of data. With the so-called “big data” generated in an unprecedented ...

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  • Zaytsev, Andrey (2017-12-05)
    One of the fundamental problems of artificial intelligence is learning how to behave optimally. With applications ranging from self-driving cars to medical devices, this task is vital to modern society. There are two ...

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  • Shih, Kevin Jonathan (2017-07-11)
    Knowing where to look in an image can significantly improve performance in computer vision tasks by eliminating irrelevant information from the rest of the input image, and by breaking down complex scenes into simpler and ...

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  • Teng, Bo (2017-04-18)
    Many of the data science applications nowadays feature large datasets and short tasks that run many iterations. When running these applications on a parallel processing framework like Apache Spark, one problem that affects ...

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  • Alebiosu, Oreoluwa (2017-04-26)
    Machine Learning (ML) software, used to implement an ML algorithm, is widely used in many application domains such as financial, business, and engineering domains. Faults in ML software can cause substantial losses in these ...

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  • Chang, Ming-Wei (2012-02-06)
    Structured tasks, which often involve many interdependent decisions for each example, are the backbone for many important applications such as natural language processing tasks. The models built for structured tasks need ...

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  • Correa Carvalho, Ralf Gunter (2017-07-19)
    Transcription is the task of writing down instructions on how to play a particular piece of music, including individual notes, note durations, embellishments and so on. While most major works in the traditional repertoire ...

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