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ICPR
2006
IEEE
14 years 9 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
ICCAD
2009
IEEE
87views Hardware» more  ICCAD 2009»
13 years 6 months ago
The synthesis of combinational logic to generate probabilities
As CMOS devices are scaled down into the nanometer regime, concerns about reliability are mounting. Instead of viewing nanoscale characteristics as an impediment, technologies suc...
Weikang Qian, Marc D. Riedel, Kia Bazargan, David ...
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
14 years 16 days ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
CIKM
2008
Springer
13 years 10 months ago
A generative retrieval model for structured documents
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...
Le Zhao, Jamie Callan
UAI
2008
13 years 10 months ago
Church: a language for generative models
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
Noah Goodman, Vikash K. Mansinghka, Daniel M. Roy,...