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RECOMB
2010
Springer
14 years 8 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 2 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
JMLR
2006
118views more  JMLR 2006»
14 years 9 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
SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
15 years 3 months ago
NetQuest: a flexible framework for large-scale network measurement
Abstract—In this paper, we present NetQuest, a flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active measurements that m...
Han Hee Song, Lili Qiu, Yin Zhang
IJAR
2010
151views more  IJAR 2010»
14 years 8 months ago
Envisioning uncertainty in geospatial information
Geospatial Reasoning has been an essential aspect of military planning since the invention of cartography. Although maps have always been a focal point for developing situational ...
Kathryn B. Laskey, Edward J. Wright, Paulo Cesar G...