HW1 - CS 440: Introduction to AI Homework 1 Due: Thursday,...

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CS 440: Introduction to AI Homework 1 Due: Thursday, September 9th Your answers must be concise and clear. Explain sufficiently that we can easily determine what you understand. We will give more points for a brief interesting discussion with no answer than for a bluffing answer. AI Models 1. Suppose that we expect to filter spam messages from a mailbox. We want to build a model that can classify a message into a spam or a ham (non-spam). Consider using the features below: (1) The number of words in the message. (2) If the sender has sent a spam message before, the message is likely to be a spam by 90% accuracy. (3) If a text contains a frequently used spam phrase, the message is a spam by 70% accuracy. (4) Whether the message contains a picture or not. (5) Whether the sender is in the receiver’s contacts. (6) In the previous spams, the number of sexual words is 5.7 on average. Recall that a model is a stand-in, or an approximate, mathematically precise representation, for the real thing.
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This note was uploaded on 04/30/2011 for the course ECE 448 taught by Professor Levinson during the Spring '08 term at University of Illinois, Urbana Champaign.

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HW1 - CS 440: Introduction to AI Homework 1 Due: Thursday,...

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