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DAGSTUHL
2004
15 years 8 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
JCM
2006
129views more  JCM 2006»
15 years 6 months ago
T-ANT: A Nature-Inspired Data Gathering Protocol for Wireless Sensor Networks
There are many difficult challenges ahead in the design of an energy-efficient communication stack for wireless sensor networks. Due to the severe sensor node constraints, protocol...
S. Selvakennedy, Sukunesan Sinnappan, Yi Shang
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 6 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
LWA
2004
15 years 8 months ago
Modeling Rule Precision
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
Johannes Fürnkranz
IPSN
2003
Springer
15 years 12 months ago
A Distributed Algorithm for Waking-up in Heterogeneous Sensor Networks
In this paper we present a distributed, application-morphable, algorithm for waking up appropriate sensor nodes in a heterogeneous sensor network. We assume a sensor field consisti...
Akis Spyropoulos, Cauligi S. Raghavendra, Viktor K...