Generating Trading Agent Strategies
Google engEDU
52 min – Jan 17, 2006

Google TechTalks
January 17, 2006

Daniel M. Reeves

Daniel Reeves recently completed his PhD in Computer Science at the University of Michigan as a student of Michael Wellman and is now (temporarily) a lecturer at Michigan, teaching Knowledge-Based Systems (Lisp, Prolog, and Mathematica for AI Programming). His most active area of research is the application of game-theoretic and computational techniques to strategic behavior in games, particularly for eCommerce-inspired market mechanisms. He is one of the creators of and top competitors in the international Trading Agent Competition. Dr Reeves is also one of the top ultra-marathon inline skaters in the US and climbs stairs competitively.

ABSTRACT
A Strategy Generation Engine is a system that reads a description of a game or market mechanism and outputs strategies for participants. Ideally, this means a game solver—an algorithm to compute Nash equilibria. This is a well-studied problem and very general solutions exist, but they can only be applied to small, finite games. I will present methods for finding or approximating Nash equilibria for infinite games, and for intractably large finite games.
video
http://video.google.com/videoplay?docid=5301380251515556722

• Download: “Generating Trading Agent Strategies” (video/mp4)

September 10, 2009 EDIT

Its rather interesting to study the co-notation of Dr Daniel Reeves’ game theory with Poker. Here is a list of expected value for poker hands I found on Google.

Visual 3D modeling of real-world objects and scenes from images
Google EngEDU
1 hr 3 min – May 1, 2007

Google Tech Talks
May 1, 2007

ABSTRACT

Images and videos form a rich source of information about the visual world. The extraction of 3D information from images is an important research problem in computer vision and graphics. The ubiquitous presence of cameras and the tremendous advances of processing and communication technologies yields important opportunities and challenges in those areas.

My work has focused on developing flexible techniques for recovering 3D shape, motion and appearance from images. A first example of this is an approach to recover photo-realistic 3D models of static objects or scenes from videos recorded with a hand-held camera or on a moving vehicle. A key aspect of our approach is the ability to also recover the geometric and photometric calibration of the camera from the image data so that our techniques can also work with uncalibrated consumer cameras or archive photographs. Towards the end of my talk, I will also briefly discuss approaches to capture dynamic scenes, both from single and multiple cameras. Applications ranging from archaeology and 3D urban modeling, to special effects and 3D tele-medecine will be used to illustrate our work. Read the rest of this entry »

Zero Configuration networking with Bonjour
Google engEDU
1 hr 1 min – Nov 2, 2005

Google TechTalks
November 2, 2005

Dr. Stuart Cheshire, Apple Computer

http://www.stuartcheshire.org/

ABSTRACT
The desirability of making IP networking easy to use has been obvious for many years, but achieving that goal has proved elusive. One day, Stuart Cheshire got tired of fellow Stanford Computer Science PhD students wanting to print from his Mac (via AppleTalk) because they couldn’t work out how to configure their Linux /etc/printcap files to access the network printer they wanted to use via IP, and he decided it was time someone did something about it.

Thus began a long saga, beginning with the formation of the IETF "Zero Configuration Networking" working group, and ending where we are today, with widespread adoption of Stuart Cheshire’s Multicast DNS and DNS Service Discovery technology, or "Bonjour", as Apple likes to call it. Today just about every network printer from just about every printer vendor supports Bonjour, and ships with it enabled by default. Read the rest of this entry »

Hey, What’s That? A Map Hack
Google engEDU
51 min – May 8, 2007

Google Tech Talks
May 8, 2007

ABSTRACT

Designed to answer the question "What am I looking at?" when standing on a hilltop or pulled over at a scenic overlook, HeyWhatsThat.com has garnered reviews like "Just when I thought I was in danger of becoming a jaded customer of the mass mapping space, here’s a site that effortlessly returns me to a state of slack-jawed wonder" (OgleEarth). In addition to peak detection and identification, it offers viewshed computations, elevation contours, elevation profiles, and integration with Google Maps and Google Earth. This talk — given by Michael Kosowsky, designer and proprieter of HeyWhatsThat.com — will focus on what it is and how it got to be that way.

http://www.heywhatsthat.com/

http://www.heywhatsthat.com/faq.html

Speaker: Michael Kosowsky

Michael Kosowsky has more than 25 years of experience in software development, on platforms ranging from embedded microprocessors to supercomputers. Currently sole proprietor of the HeyWhatsThat.com web site, previous roles include founder and CTO of Great Point Design, where he developed its desktop photo application and web service; founder and CTO of Momentum, Inc., where he led the development and patenting of a portable client-server communications technology; and software engineer for The Jackson Laboratory and DNA Sciences, where he implemented systems for visualizing and sharing genomic data. Read the rest of this entry »

How can we better understand customers?
Google engEDU
50 min – Jul 18, 2006

Google TechTalks
July 18, 2006

Ely Dahan

At MIT’s Sloan School of Business, Ely Dahan taught high tech marketing and new product development. He now develops new models and methods for developing products at UCLA’s Anderson School of Business. Dahan has developed internet-based market research methods, mathematical models of parallel and sequential prototyping, the economics of cost reduction, and strategies for mass customization. Prior to entering academia, he was national product manager for W.R. Grace and NEC until 1984, when he founded a computer networking company in Maryland, serving as CEO until the firm was acquired in 1993. He is the recipient, along with his coauthors, of the INFORMS John D.C. Little Award, the American Marketing Association EXPLOR Award, the INFORMS Frank M. Bass Outstanding Dissertation Award (based on Olivier Toubia’s PhD thesis), and the Journal of Product Innovation Managment Hustad Award. Dahan earned his PhD in the Operations & IT program at Stanford Business School, where he was a Department of Energy Fellow, an AACSB Doctoral Fellow, and a recipient of the Jaedicke Prize for scholarly achievement. He attended Princeton University, then received a Bachelor’s degree in Civil Engineering from MIT in 1978 and an MBA from Harvard in 1980. Read the rest of this entry »