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A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is?
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Oct 22, 2021
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DavidAnderson
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What is perceptron?
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Oct 22, 2021
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DavidAnderson
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What is an auto-associative network?
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Oct 22, 2021
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DavidAnderson
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A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. What will be the output?
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Oct 22, 2021
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DavidAnderson
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Which is true for neural networks?
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Oct 22, 2021
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DavidAnderson
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Why is the XOR problem exceptionally interesting to neural network researchers?
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Oct 22, 2021
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DavidAnderson
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What is back propagation?
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Oct 22, 2021
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DavidAnderson
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Why are linearly separable problems of interest of neural network researchers?
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Oct 22, 2021
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DavidAnderson
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Which of the following is not the promise of artificial neural network?
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Oct 22, 2021
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DavidAnderson
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Neural Networks are complex ______________ with many parameters.
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Oct 22, 2021
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DavidAnderson
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A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.
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Oct 22, 2021
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DavidAnderson
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What is the name of the function in the following statement “A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0”?
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Oct 22, 2021
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DavidAnderson
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The network that involves backward links from output to the input and hidden layers is called _________
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Oct 21, 2021
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DavidAnderson
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A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
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Oct 21, 2021
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DavidAnderson
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Decision Tree is a display of an algorithm.
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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What is Decision Tree?
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Oct 21, 2021
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DavidAnderson
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Decision Trees can be used for Classification Tasks.
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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Choose from the following that are Decision Tree nodes?
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Oct 21, 2021
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DavidAnderson
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Decision Nodes are represented by ____________
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Oct 21, 2021
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DavidAnderson
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Chance Nodes are represented by __________
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Oct 21, 2021
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DavidAnderson
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End Nodes are represented by __________
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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Which combines inductive methods with the power of first-order representations?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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How many reasons are available for the popularity of ILP?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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Which cannot be represented by a set of attributes?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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Which is an appropriate language for describing the relationships?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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Which produces hypotheses that are easy to read for humans?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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What need to be satisfied in inductive logic programming?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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How many literals are available in top-down inductive learning methods?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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Which inverts a complete resolution strategy?
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Oct 21, 2021
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Artificial Intelligence
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DavidAnderson
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Which method can’t be used for expressing relational knowledge?
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Oct 21, 2021
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DavidAnderson
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