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FLAIRS
2008
13 years 7 months ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
ICWSM
2009
13 years 3 months ago
From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences
Current news interfaces are largely driven by recent information, even though many events are better interpreted in context of previous related events. To address this problem, we...
Ramnath Balasubramanyan, Frank Lin, William W. Coh...
RECOMB
2002
Springer
14 years 5 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
WWW
2004
ACM
14 years 6 months ago
Information diffusion through blogspace
We study the dynamics of information propagation in environments of low-overhead personal publishing, using a large collection of weblogs over time as our example domain. We chara...
Daniel Gruhl, Ramanathan V. Guha, David Liben-Nowe...
CVPR
2012
IEEE
11 years 7 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller