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110
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IJAR
2010
130views more  IJAR 2010»
14 years 11 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
123
Voted
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 6 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
ILP
2005
Springer
15 years 6 months ago
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...
NN
2008
Springer
107views Neural Networks» more  NN 2008»
15 years 14 days ago
Sequential Bayesian kernel modelling with non-Gaussian noise
Nikolay Y. Nikolaev, Lilian M. de Menezes
111
Voted
ISMIR
2004
Springer
145views Music» more  ISMIR 2004»
15 years 5 months ago
Audio Fingerprinting In Peer-to-peer Networks
Despite the immense potential of Peer-to-Peer (P2P) networks in facilitating collaborative applications, they have become largely known as a free haven for pirated music swapping....
Prarthana Shrestha, Ton Kalker