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» Convergence analysis of online algorithms
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JMLR
2010
184views more  JMLR 2010»
14 years 4 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
15 years 10 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
IPPS
2002
IEEE
15 years 2 months ago
Toward Optimal Diffusion Matrices
Efficient load balancing algorithms are the key to many efficient parallel applications. Until now, research in this area has mainly been focusing on homogeneous schemes. Howeve...
Robert Elsässer, Burkhard Monien, Günter...
APN
2000
Springer
15 years 1 months ago
Efficient Symbolic State-Space Construction for Asynchronous Systems
Many techniques for the verification of reactive systems rely on the analysis of their reachable state spaces. In this paper, a new algorithm for the symbolic generation of the sta...
Gianfranco Ciardo, Gerald Lüttgen, Radu Simin...
COLT
2008
Springer
14 years 11 months ago
Learning Coordinate Gradients with Multi-Task Kernels
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Yiming Ying, Colin Campbell