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JMLR
2006
118views more  JMLR 2006»
13 years 7 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
AAAI
1998
13 years 9 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
COMPLEX
2009
Springer
14 years 2 months ago
Transforming Time Series into Complex Networks
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
Michael Small, Jie Zhang, Xiaoke Xu
BIBM
2010
IEEE
157views Bioinformatics» more  BIBM 2010»
13 years 5 months ago
Decomposing PPI networks for complex discovery
Abstract--Protein complexes are important for understanding principles of cellular organization and functions. With the availability of large amounts of high-throughput proteinprot...
Guimei Liu, Chern Han Yong, Limsoon Wong, Hon Nian...
SIGIR
2010
ACM
13 years 11 months ago
Entity information management in complex networks
Entity information management (EIM) is a nascent IR research area that investigates the information management process about entities instead of documents. It is motivated by the ...
Yi Fang