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» Algorithmic models for sensor networks
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AAAI
2010
15 years 9 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
JMLR
2006
120views more  JMLR 2006»
15 years 7 months ago
Kernel-Based Learning of Hierarchical Multilabel Classification Models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Juho Rousu, Craig Saunders, Sándor Szedm&aa...
MM
2005
ACM
166views Multimedia» more  MM 2005»
16 years 1 months ago
MedSMan: a streaming data management system over live multimedia
Querying live media streams is a challenging problem that is becoming an essential requirement in a growing number of applications. Research in multimedia information systems has ...
Bin Liu, Amarnath Gupta, Ramesh Jain
MSWIM
2006
ACM
16 years 1 months ago
Sampling time-dependent parameters in high-speed network monitoring
Nowadays network bandwidth is increasing continuously for endusers and network providers. Network monitoring tools have to be able to support these high-speed networks, processing...
Edurne Izkue, Eduardo Magaña
FUZZIEEE
2007
IEEE
16 years 1 months ago
Learning Undirected Possibilistic Networks with Conditional Independence Tests
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
Christian Borgelt