Comparing Linear Discriminant Analysis with Other Machine Learning Paradigms
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Questions and Answers

In 1986, who popularized backpropagation for training multi-layer networks?

  • Hinton et al.
  • LeCun
  • Rumelhardt, Hinton, Williams (correct)
  • Fukushima
  • Who were the individuals responsible for the 'cells that fire together wire together' learning rule?

  • Rosenblatt
  • McCulloch and Pitts
  • Minsky and Papert
  • Hebb (correct)
  • Who applied convolutional neural networks to recognizing handwritten digits for USPS in 1998?

  • LeCun (correct)
  • Rumelhardt
  • Hebb
  • Fukushima
  • Which algorithm showed that linear models could not solve XOR, leading to a decline in neural nets research in 1969?

    <p>Perceptron algorithm</p> Signup and view all the answers

    In which year did AlexNet obtain huge gains in object recognition, transforming the computer vision community?

    <p>2016</p> Signup and view all the answers

    Which AI subfield is primarily concerned with teaching computers to learn from data without explicit programming?

    <p>Machine Learning (ML)</p> Signup and view all the answers

    What concept goes back as far as Gauss and Legendre and is at the heart of machine learning?

    <p>Principle of least squares for linear regression</p> Signup and view all the answers

    What are some common applications of Machine Learning (ML)?

    <p>Predictions, pattern recognition, and decision-making</p> Signup and view all the answers

    In which AI subfield would you find applications like image recognition, object detection, and facial recognition?

    <p>Computer Vision</p> Signup and view all the answers

    Which AI subfield combines AI with mechanical systems to create intelligent machines for physical tasks?

    <p>Robotics</p> Signup and view all the answers

    Which AI subfield focuses on enabling computers to understand, interpret, and generate human language?

    <p>Natural Language Processing (NLP)</p> Signup and view all the answers

    What are computer programs designed to mimic the decision-making abilities of human experts in a specific domain called?

    <p>Expert Systems</p> Signup and view all the answers

    Which of the following was developed by Fisher in the field of statistics?

    <p>Classification (Linear Discriminant Analysis)</p> Signup and view all the answers

    Which paradigm in machine learning was influenced by statistical learning theory and optimization?

    <p>Support Vector Machines (SVMs)</p> Signup and view all the answers

    Which AI approach is known for its mathematical rigor and providing methods for understanding AI systems trained with real-world data?

    <p>Statistical AI</p> Signup and view all the answers

    Which AI approach took a top-down strategy and initially failed to meet its original goal?

    <p>Symbolic AI</p> Signup and view all the answers

    Which AI approach offered a class of models capable of solving complex problems and started with simple perceptual tasks?

    <p>Neural AI</p> Signup and view all the answers

    What is the primary difference between Neural AI and Symbolic AI approaches?

    <p>Neural AI takes a bottom-up approach, starting with simple tasks, while Symbolic AI takes a top-down approach</p> Signup and view all the answers

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