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AAAI
2011
12 years 10 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
14 years 10 months ago
Weighted graphs and disconnected components: patterns and a generator
The vast majority of earlier work has focused on graphs which are both connected (typically by ignoring all but the giant connected component), and unweighted. Here we study numer...
Mary McGlohon, Leman Akoglu, Christos Faloutsos
RECSYS
2009
ACM
14 years 4 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
CSCW
2006
ACM
14 years 4 months ago
Where's the "party" in "multi-party"?: analyzing the structure of small-group sociable talk
Spontaneous multi-party interaction – conversation among groups of three or more participants – is part of daily life. While automated modeling of such interactions has receiv...
Paul M. Aoki, Margaret H. Szymanski, Luke D. Plurk...
SIGECOM
2005
ACM
98views ECommerce» more  SIGECOM 2005»
14 years 3 months ago
Hidden-action in multi-hop routing
In multi-hop networks, the actions taken by individual intermediate nodes are typically hidden from the communicating endpoints; all the endpoints can observe is whether or not th...
Michal Feldman, John Chuang, Ion Stoica, Scott She...