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  • Work
    Article
    Chen, Xue-wen
    Solutions of least squares support vector machines (LS-SVMs) are typically nonsparse. The sparseness is imposed by subsequently omitting data that introduce the smallest training errors and retraining the remaining data. Iterative retraining requires . . .
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    Project
    Bhaskara, Prem Savitra
    Recent changes in computation and storage have led to the tremendous growth of neural networks and big data. Analysis of big data has led to achievements such as self-driving cars through advances in algorithms like machine vision. There is a growing . . .
  • Work
    Project
    Bartholomew, Dylan
    The intent of this project is to explore whether the Two Dimensional Chunk Extraction algorithm for the Self-Splitting Modular Neural Network is more effective than the original algorithm. This experiment uses the same data and compares the results of . . .
  • Work
    Project
    Deo, Ameya Shrikant
    This project focuses on introducing intelligent algorithm in a commercially available monitoring solution. Typical monitoring software does not have any capabilities of generating intelligent alerts. To overcome this limitation, a multilayered artific . . .
  • Work
    Project
    Dalavi, Reena Prakash
    Emotions play an important role in shaping how we think and how we behave in many situations. Our action depends upon the surrounding emotions and paying attention to the surrounding emotions helps us take a decision. When we interact with other peopl . . .