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TSP
2010
15 years 1 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
16 years 3 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
EVOW
2009
Springer
16 years 1 months ago
Improving Performance in Combinatorial Optimisation Using Averaging and Clustering
In a recent paper an algorithm for solving MAX-SAT was proposed which worked by clustering good solutions and restarting the search from the closest feasible solutions. This was sh...
Mohamed Qasem, Adam Prügel-Bennett
ICPR
2008
IEEE
16 years 1 months ago
Detecting hubs and quasi cliques in scale-free networks
Scale-free networks are believed to closely model most real-world networks. An interesting property of such networks is the existence of so-called hub and community structures. In...
Sriganesh Srihari, Hoong Kee Ng, Kang Ning, Hon Wa...
CSCLP
2007
Springer
16 years 25 days ago
Temporal Reasoning in Nested Temporal Networks with Alternatives
Temporal networks play a crucial role in modeling temporal relations in planning and scheduling applications. Temporal Networks with Alternatives (TNAs) were proposed to model alte...
Roman Barták, Ondrej Cepek, Martin Hejna