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ICDE
2003
IEEE
211views Database» more  ICDE 2003»
14 years 10 months ago
Capturing Sensor-Generated Time Series with Quality Guarantees
We are interested in capturing time series generated by small wireless electronic sensors. Battery-operated sensors must avoid heavy use of their wireless radio which is a key cau...
Iosif Lazaridis, Sharad Mehrotra
VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 9 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
ICML
2008
IEEE
14 years 9 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ALGOSENSORS
2009
Springer
13 years 6 months ago
Brief Announcement: Universal Data Aggregation Trees for Sensor Networks in Low Doubling Metrics
Abstract. We describe a novel approach for constructing a single spanning tree for data aggregation towards a sink node. The tree is universal in the sense that it is static and in...
Srinivasagopalan Srivathsan, Costas Busch, S. Sith...
JAMIA
2011
98views more  JAMIA 2011»
12 years 12 months ago
Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network
Background Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management....
Jyotishman Pathak, Janey Wang, Sudha Kashyap, Meli...