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AMMA
2009
Springer
13 years 11 months ago
Using Prediction Markets to Track Information Flows: Evidence from Google
Bo Cowgill, Justin Wolfers, Eric Zitzewitz
RECOMB
2010
Springer
13 years 3 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
TITS
2008
250views more  TITS 2008»
13 years 4 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
SIGECOM
2009
ACM
118views ECommerce» more  SIGECOM 2009»
13 years 11 months ago
Modeling volatility in prediction markets
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Nikolay Archak, Panagiotis G. Ipeirotis
DSS
2011
12 years 8 months ago
Estimating the effect of word of mouth on churn and cross-buying in the mobile phone market with Markov logic networks
Abstract: Much has been written about word of mouth and customer behavior. Telephone call detail records provide a novel way to understand the strength of the relationship between ...
Torsten Dierkes, Martin Bichler, Ramayya Krishnan