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ICML
2008
IEEE
16 years 7 months ago
Topologically-constrained latent variable models
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jo...
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
16 years 7 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
IPPS
2007
IEEE
16 years 1 months ago
Availability/Consistency Balancing Replication Model
Replication combined with explicit management of data integrity constraints can be used to enhance availability of object-oriented, data-centric distributed systems when node and ...
Johannes Osrael, Lorenz Froihofer, Karl M. Gö...
EUROPAR
2005
Springer
16 years 9 days ago
Modeling Machine Availability in Enterprise and Wide-Area Distributed Computing Environments
In this paper, we consider the problem of modeling machine availability in enterprise-area and wide-area distributed computing settings. Using availability data gathered from three...
Daniel Nurmi, John Brevik, Richard Wolski
AAAI
2008
15 years 9 months ago
Transferring Localization Models across Space
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. K...