18CSC305J / ARTIFICIAL INTELLIGENCE / Unit IV

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Across
  1. 2. Identify the type of learning in which labeled training data is used.
  2. 6. _______algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.
  3. 8. Real-Time decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are applications of________
  4. 10. In linear regression, we try to ______ the least square errors of the model to identify the line of best fit.
  5. 11. The prior goal of unsupervised learning model is to determine the ________ .
  6. 12. In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?
  7. 13. Machine Learning has various search/ optimization algorithms, which of the following is not evolutionary computation?
  8. 15. Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?
Down
  1. 1. Machine learning is a subset of_________
  2. 3. A model of language consists of the categories which does not include ________.
  3. 4. What is the application of machine learning methods to a large database called?
  4. 5. Identify the kind of learning algorithm for "facial identities for facial expressions".
  5. 7. Which supervised learning technique can process both numeric and categorical input attributes?
  6. 9. A subset of machine learning that involves systems that think and learn like humans using artificial neural networks.
  7. 14. The most significant phase in genetic algorithm is _________