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» Information elicitation for decision making
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BMCBI
2010
147views more  BMCBI 2010»
13 years 9 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 5 months ago
Routing with Mutual Information Accumulation in Wireless Networks
We investigate optimal routing and scheduling strategies for multi-hop wireless networks with rateless codes. Rateless codes allow each node of the network to accumulate mutual in...
Rahul Urgaonkar, Michael J. Neely
CIKM
2010
Springer
13 years 7 months ago
Collaborative future event recommendation
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
FIRSTMONDAY
2010
163views more  FIRSTMONDAY 2010»
13 years 6 months ago
Bubbles, gullibility, and other challenges for economics, psychology, sociology, and information sciences
Abstract. Gullibility is the principal cause of bubbles. Investors and the general public get snared by a "beautiful illusion" and throw caution to the wind. Attempts to ...
Andrew M. Odlyzko
WWW
2006
ACM
14 years 9 months ago
Tables and trees don't mix (very well)
There are principal differences between the relational model and XML's tree model. This causes problems in all cases where information from these two worlds has to be brought...
Erik Wilde