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JMLR
2010
144views more  JMLR 2010»
13 years 2 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
IPSN
2010
Springer
14 years 1 months ago
Covering space for in-network sensor data storage
For in-network storage schemes, one maps data, indexed in a logical space, to the distributed sensor locations. When the physical sensor network has an irregular shape and possibl...
Rik Sarkar, Wei Zeng, Jie Gao, Xianfeng David Gu
CIKM
2009
Springer
14 years 1 months ago
A query language for analyzing networks
With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and query...
Anton Dries, Siegfried Nijssen, Luc De Raedt
NETWORKS
2011
12 years 10 months ago
On terminal delta-wye reducibility of planar graphs
A graph is terminal ∆ − Y -reducible if, it can be reduced to a distinguished set of terminal vertices by a sequence of series-parallel reductions and ∆−Y -transformations...
Isidoro Gitler, Feliu Sagols
SENSYS
2006
ACM
14 years 1 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...