A: No .
C: Uh , Yeah .
B: It just basically looks like it just specifies a bunch of
A: Mm - hmm .
C: Yeah .
C: That 's how actual probability tables are specified .
C: As , like , lists of numbers .
B: Yeah .
D: Mm - hmm .
D: Mm - hmm .
C: So theoretically you could edit that .
D: Mm - hmm .
B: It just that it 's C: But they 're not very friendly .
B: Yeah the ordering isn't very clear on D: Right .
C: So you 'd have to like figure out Like you have to go and D: The layout of the table .
C: Yeah .
D: Yeah .
C: Well I B: Actually we could write a program that could generate this .
C: Yeah .
C: I think so .
D: You could .
B: Yeah you could .
C: it 's not B: We were doing it C: Yeah
C: we can maybe write an interface th for uh entering probability distributions easily ,
C: something like like a little script .
C: That might be worth it .
A: And that might do .
D: Yeah .
D: I actually seem to recall Srini complaining about something to do with Entering probability
D: so this is probably
C: The other thing is it is in Java
D: Yeah , it 's D: Yeah .
C: so .
B: We could manipulate the source itself ?
D: Yeah .
B: Or A: Do you have the true source files
B: I don't know if he actually A: or just the class ?
C: Yeah .
C: Uh , yeah . we do
B: Does he C: I I saw directory called " source " ,
B: Oh .
D: Mm - hmm .
B: I didn't e
C: or C: Yeah .
C: Go up one ?
B: Up one .
C: Yeah .
B: Ah yes , good .
B: " Source " .
B: That 's that 's quite nice .
C: I don't know if it actually manipulate the source , though .
C: That might be a bit complicated .
C: I think it might it might be simpler to just have a script that , you know A: Mm - hmm .
C: It 's , like , friendly ,
D: The d the data tables .
C: it allows you enter things well .
D: Yeah .
B: Right .
A: But if th if there is an XML file that or format that it can also read A: I mean it just reads this ,
A: right ?
A: When it starts .
C: Mm - hmm .
B: Yeah I know there is an I was looking on the we web page
B: and he 's updated it for an XML version of I guess Bayes - nets .
B: There 's a Bayes - net spec for in XML .
A: Mm - hmm .
C: He 's Like this guy has ?
C: The JavaBayes guy ?
B: Yeah .
C: So but , e he doesn't use it .
C: So in what sense has he updated it ?
B: Well th you can either you ca or you can read both .
C: Oh . I see .
B: To my understanding .
C: OK .
D: Oh .
C: That would be awesome .
B: Because uh B: Well at least the uh B: I could have misread the web page ,
B: I have a habit of doing that ,
B: but .
A: OK , wonderful .
C: OK .
A: So you got more slides ?
B: Do I have more slides ?
B: Um yes ,
B: one more .
B: " Future Work " .
B: I think every presentation have a should have a " Future Work " slide .
B: But uh it 's basically B: we already talked about all this stuff ,
B: so .
C: Um . The additional thing is I guess learning the probabilities , also .
C: E That 's maybe ,
C: I don't know  If B: Uh that 's future future work .
C: Does C: That 's C: Yeah .
B: Right .
C: Very future .
A: Mm - hmm .
B: And of course if you have a presentation that doesn't have something that doesn't work at all , then you have " What I learned " , as a slide .
D: Can't you have both ?
B: You could .
B: My first approach failed .
D: Right .
B: What I learned .
B: OK , so I think that uh our presentation 's finished .
A: Good .
B: I know what I like about these meetings is one person will nod , and then the next person will nod , and then it just goes all the way around the room .
A: So the uh D: I missed my turn .
B: No I Earlier I went <nonvocalsound> and Bhaskara went <nonvocalsound> and you did it .
B: You did it .
A: It 's like yawning .
D: It 's like yawning .
A: And this announcement was in stereo .
C: Ha .
A: OK .
A: So this means um B: Should I pull up the net again ?
D: Yeah .
D: Could you put the the um , net up again ?
B: Yes .
D: Thanks .