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Propose an algorithm that accepts a sequence of training examples and outputs a consistent hypothesis if one exists Your algorithm should run in time that is polynomial in n and in the number of training examples 210 Implement the FIND-Salgorithm First verify that it successfully produces the trace in Section 24 for the Enjoysport example Now use this program to study the number of random training examples required to exactly learn the target concept Implement a training example generator that generates random instances, then classifies them according to the target concept:

This example creates a function named show_message() to do the job of showing the alert The alert will be shown only if you call the show_message() function somewhere after it is defined In this case, the function is called right after its definition The result is a small alert box with the message This is an alert!

When an alert box appears, you may see the page pause until you click the OK button, or it may continue to load while waiting for you to click OK This depends on your browser

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100 ft max for passive coax star leg 2000 ft max for active coax star leg 100 500 ft max for active twisted pair star leg FIGURE B9 The ARCnet star topology

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Even though the function is defined first, it doesn t mean it will be executed first A function is not executed until it is called; in other words, JavaScript will not use the function until it gets to the function call in the script Any commands that come before the function call (and that are not part of the function definition) will be executed before the function For instance, we could change the code in the JavaScript file as follows:

Consider training your FIND-Sprogram on randomly generated examples and measuring the number of examples required before the program's hypothesis is identical to the target concept Can you predict the average number of examples required Run the experiment at least 20 times and report the mean number of examples required How do you expect this number to vary with the number of " " in the target concept How would it vary with the number of attributes used to describe instances and hypotheses

function show_message() { windowalert("This is an alert!"); } windowalert("I am first, ha!"); windowalert("I am second, ha ha!"); show_message();

This example defines the same function, show_message(), on the first line The function is followed by two lone windowalert commands, and then the line that calls the function Save the js_alertjs file with this new code and then reload the js_alerthtml file in your Web browser You should see an interesting result! The two lone alert commands are the first executable statements JavaScript sees, and they come first The call to our function is seen last, so the function is executed last The result is three alerts, in this order:

A popular alternative to ARCnet coax is to use twisted-pair wire for the transmission medium An ARCnet twisted pair network can be wired as an active star or as a daisy-chain bus Technically, a passive star could be used for a small number of workstations, although the active star is more common A twisted-pair star is wired in the same fashion as with other networks Workstation cables are run outward from a wiring closet or other central location to each workstation outlet Each cable is terminated at the workstation with a 100-ohm resistor plug The active star hub includes built-in terminators

Bruner, J S, Goodnow, J J, & Austin, G A (1957) A study of thinking New York: John Wiey & Sons Buchanan, B G (1974) Scientific theory formation by computer In J C Simon (Ed), Computer Oriented Learning Processes Leyden: Noordhoff Gunter, C A, Ngair, T, Panangaden, P, & Subramanian, D (1991) The common order-theoretic structure of version spaces and ATMS's Proceedings of the National Conference on Artijicial Intelligence (pp 500-505) Anaheim Haussler, D (1988) Quantifying inductive bias: A1 learning algorithms and Valiant's learning framework Artijicial Intelligence, 36, 177-221 Hayes-Roth, F (1974) Schematic classification problems and their solution Pattern Recognition, 6, 105-113 Hirsh, H (1990) Incremental version space merging: A general framework for concept learning Boston: Kluwer

The user gets an alert, saying I am first, ha! and needs to click the OK button to get rid of it Then the alert that displays I am second, ha ha! appears, and the viewer needs to click OK again Finally, the function is executed, and the viewer sees the alert This is an alert! and needs to click OK a third time to end the alert frenzy

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