From sabhnani+ at cs.cmu.edu Tue Oct 12 14:00:50 2010 From: sabhnani+ at cs.cmu.edu (Robin Sabhnani) Date: Tue, 12 Oct 2010 14:00:50 -0400 Subject: [Research] auton lab picnic this weekend.. Message-ID: <4CB4A252.4070604@cs.cmu.edu> Hi all, Please fill the picnic planning survey (link below) and let us know your preferences by 5pm tomorrow evening. http://www.surveymonkey.com/s/BVZSZ9Q Cheers, Robin From awd at cs.cmu.edu Tue Oct 12 14:07:25 2010 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Tue, 12 Oct 2010 14:07:25 -0400 Subject: [Research] auton lab picnic this weekend.. In-Reply-To: <4CB4A252.4070604@cs.cmu.edu> References: <4CB4A252.4070604@cs.cmu.edu> Message-ID: <4CB4A3DD.70100@cs.cmu.edu> Please bring your families and significant others with you! A. On 10/12/2010 2:00 PM, Robin Sabhnani wrote: > Hi all, > > Please fill the picnic planning survey (link below) and let us know your > preferences by 5pm tomorrow evening. > > http://www.surveymonkey.com/s/BVZSZ9Q > > Cheers, > Robin > _______________________________________________ > Research mailing list > Research at autonlab.org > https://www.autonlab.org/mailman/listinfo/research > From mjbaysek at cs.cmu.edu Thu Oct 14 15:58:33 2010 From: mjbaysek at cs.cmu.edu (Michael J. Baysek) Date: Thu, 14 Oct 2010 15:58:33 -0400 Subject: [Research] Auton Lab Picnic: Directions and Info Message-ID: <4CB760E9.8090400@cs.cmu.edu> Hi Lab! This mail is for those of you who are coming to the picnic at North Park on this Saturday from 10am - 4pm. We are looking forward to an even bigger turnout than we had last year. So far, we have over 2 dozen RSVP's. Unfortunately, as some of you may be aware, 17 is a prime number. You get to feel cool (or old, take your pick) if you know why the number 17 is significant, and why it being a prime number is a bummer ;) Directions: The pavilion we have reserved is called "Latrobe" . Here are the directions to the pavilion itself. Feel free to adjust for your starting location. The parking is right where the marker on the map is, you'll see it when you get there. If you requested a ride, we'll send a separate mail regarding car pooling. http://maps.google.com/maps?f=d&source=s_d&saddr=15213&daddr=40.605376,-80.009125&hl=en&geocode=FaYIaQIdRvk7-ynJgiLkKPI0iDFKDMJBbuR7oA%3BFcCWawIdWyg7-w&mra=ls&sll=40.605451,-80.009201&sspn=0.001666,0.002411&ie=UTF8&t=h&z=12 Activities: The lab will sponsor bike rental if you want to bike. So far, we have a number of people already interested in that. Also, there are tennis courts nearby (bring your own equipment). We'll have frisbee, soccer, and volleyball. If you like board games or other sedentary activities, please feel free to bring some. There is also a playground adjacent to our pavilion, so kids are sure to have a blast. Food: The full spectrum of dietary requests (your survey feedback) will be provided. Included will be both veggie and non veggie sandwich rings, pasta (salad and with tomato sauce/nomeat), and for the carnivores, grilled chicken, burgers, and hot dogs. Of course, there will be cake, chips, cookies, soda, etc. Lunch will be served at around noon. If you have any problem finding the picnic, you can call me or Robin at the numbers below. See you Saturday! Mike Mike: 412-596-1618 Robin: 412-551-0631 From mjbaysek at cs.cmu.edu Sat Oct 16 20:18:13 2010 From: mjbaysek at cs.cmu.edu (Michael J. Baysek) Date: Sat, 16 Oct 2010 20:18:13 -0400 Subject: [Research] Lab Picnic Message-ID: <4CBA40C5.40009@cs.cmu.edu> Hi all, Thanks to all who made it to the picnic! There were thrills, chills and spills, and none of it would have been possible without you. Here's to 17 more years of Auton Lab success :) Cheers, Mike From awd at cs.cmu.edu Sat Oct 16 20:25:06 2010 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Sat, 16 Oct 2010 20:25:06 -0400 Subject: [Research] Lab Picnic In-Reply-To: <4CBA40C5.40009@cs.cmu.edu> References: <4CBA40C5.40009@cs.cmu.edu> Message-ID: <4CBA4262.2010205@cs.cmu.edu> Are you kidding Mike? This was a success primarily because of yours and Robin's tireless work to make it so. The Lab is looking strong and secure to live another hundred and seventeen years thanks to people like the two of you. Thanks very much. Artur On 10/16/2010 8:18 PM, Michael J. Baysek wrote: > Hi all, > > Thanks to all who made it to the picnic! There were thrills, chills and > spills, and none of it would have been possible without you. Here's to > 17 more years of Auton Lab success :) > > Cheers, > > Mike > _______________________________________________ > Research mailing list > Research at autonlab.org > https://www.autonlab.org/mailman/listinfo/research > From awd at cs.cmu.edu Mon Oct 25 15:24:29 2010 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Mon, 25 Oct 2010 15:24:29 -0400 Subject: [Research] Auton Lab meeting: this Wednesday at noon Message-ID: <4CC5D96D.4040604@cs.cmu.edu> Dear Autonians, I am pleased to announce the first Lab meeting of the new season. It will take place this Wednesday, October 27th, at noon, in NSH 1507. Food will be provided. We will start by a quick round-the-table introductions (we have a number of new members!) and a quick state-of-the-Lab update. Then, we will be entertained by a guest speaker, Adam Zagorecki, currently with the University of Pittsburgh on leave from the UK Defense Academy, who will give a talk detailed below. Please let me know if you'd like to meet the speaker after the talk (unless I already spoken with you about that). Thanks and see you all on Wednesday! Artur Title: Local Probability Distributions in Bayesian Networks Abstract: Bayesian networks (BNs) have proven to be a modeling framework capable of capturing uncertain knowledge and have been applied successfully in many domains for over 25 years. The strength of Bayesian networks lies in the graceful combination of probability theory and a graphical structure representing probabilistic dependencies among domain variables in a compact manner that is intuitive for humans. One major challenge related to building practical BN models is specification of conditional probability distributions. The number of probability distributions in a conditional probability table for a given variable is exponential in its number of parent nodes, so that defining them becomes problematic or even impossible from a practical standpoint. Independence of Causal Interaction models, such as the noisy-OR, are a practical solution to this problem. I will discuss exploiting the concept of Independence of Causal Interaction for improved inference and learning Bayesian network models from data. From mjbaysek at cs.cmu.edu Tue Oct 26 14:25:05 2010 From: mjbaysek at cs.cmu.edu (Michael J. Baysek) Date: Tue, 26 Oct 2010 14:25:05 -0400 Subject: [Research] Auton Lab meeting: this Wednesday at noon Message-ID: <4CC71D01.8090401@cs.cmu.edu> [Rebroadcasting this message for our new members] Dear Autonians, I am pleased to announce the first Lab meeting of the new season. It will take place this Wednesday, October 27th, at noon, in NSH 1507. Food will be provided. We will start by a quick round-the-table introductions (we have a number of new members!) and a quick state-of-the-Lab update. Then, we will be entertained by a guest speaker, Adam Zagorecki, currently with the University of Pittsburgh on leave from the UK Defense Academy, who will give a talk detailed below. Please let me know if you'd like to meet the speaker after the talk (unless I already spoken with you about that). Thanks and see you all on Wednesday! Artur Title: Local Probability Distributions in Bayesian Networks Abstract: Bayesian networks (BNs) have proven to be a modeling framework capable of capturing uncertain knowledge and have been applied successfully in many domains for over 25 years. The strength of Bayesian networks lies in the graceful combination of probability theory and a graphical structure representing probabilistic dependencies among domain variables in a compact manner that is intuitive for humans. One major challenge related to building practical BN models is specification of conditional probability distributions. The number of probability distributions in a conditional probability table for a given variable is exponential in its number of parent nodes, so that defining them becomes problematic or even impossible from a practical standpoint. Independence of Causal Interaction models, such as the noisy-OR, are a practical solution to this problem. I will discuss exploiting the concept of Independence of Causal Interaction for improved inference and learning Bayesian network models from data. _______________________________________________ Research mailing list Research at autonlab.org https://www.autonlab.org/mailman/listinfo/research