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» Combination of Abstractions in the ASTR
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ACTA
2007
85views more  ACTA 2007»
13 years 10 months ago
The complexity of satisfying constraints on databases of transactions
Abstract Computing frequent itemsets is one of the most prominent problems in data mining. Recently, a new related problem, called FREQSAT, was introduced and studied: given some i...
Toon Calders
AMAI
2008
Springer
13 years 10 months ago
Mixed deterministic and probabilistic networks
Abstract The paper introduces mixed networks, a new graphical model framework for expressing and reasoning with probabilistic and deterministic information. The motivation to devel...
Robert Mateescu, Rina Dechter
CBRMD
2008
69views more  CBRMD 2008»
13 years 10 months ago
Procurement Fraud Discovery using Similarity Measure Learning
Abstract. This paper describes an approach to detect hints on procurement fraud. It was developed within the context of a European Union project on fraud prevention. Procurement fr...
Stefan Rüping, Natalja Punko, Björn G&uu...
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 10 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
DEDS
2010
130views more  DEDS 2010»
13 years 10 months ago
Message Batching in Wireless Sensor Networks - A Perturbation Analysis Approach
Abstract-- We address the problem of batching messages generated at nodes of a sensor network for the purpose of reducing communication energy at the expense of added latency. We f...
Xu Ning, Christos G. Cassandras