Q. Explain baye’s rule and its use with suitable example.
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[08]
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Q. Explain Bayesian network, Decision network with their applications.
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[08]
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Q. Explain Hidden Markov model in detail.
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[08]
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Q. Explain dynamic Bayesian network and its role in uncertainty.
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[08]
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Q. Explain Supervised and unsupervised learning method with specific algorithm for each learning method.
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[08]
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Q. Explain nonparametric Models.
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[08]
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Q. Write note Artificial Neural Network.
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[08]
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Q. Explain inductive learning algorithm in detail.
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[08]
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Q. Explain data structure for information retrieval.
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[09]
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Q. Explain procedure for machine translation.
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[09]
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Q. Explain language model in detail and give different types of language models.
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[09]
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Q. Write note on Robotic software architecture.
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[09]
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