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» Structure learning of Bayesian networks using constraints
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AAAI
2010
13 years 8 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
ECAI
2010
Springer
13 years 5 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 7 days ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
FOCS
2006
IEEE
14 years 1 months ago
Strategic Network Formation through Peering and Service Agreements
We introduce a game theoretic model of network formation in an effort to understand the complex system of business relationships between various Internet entities (e.g., Autonomou...
Elliot Anshelevich, F. Bruce Shepherd, Gordon T. W...
EJWCN
2010
229views more  EJWCN 2010»
13 years 2 months ago
Throughput-Efficient Dynamic Coalition Formation in Distributed Cognitive Radio Networks
We formulate the problem of distributed throughput-efficient sensing in cognitive radio (CR) networks as a dynamic coalition formation game based on a Markovian model. The propose...
Zaheer Khan, Janne J. Lehtomäki, Marian Codre...