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187
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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 7 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
207
Voted
EWSN
2007
Springer
16 years 7 months ago
Model-Based Design Exploration of Wireless Sensor Node Lifetimes
This paper presents two lifetime models that describe two of the most common modes of operation of sensor nodes today, triggerdriven and duty-cycle driven. The models use a set of ...
Deokwoo Jung, Thiago Teixeira, Andrew Barton-Sween...
176
Voted
MODELS
2009
Springer
16 years 2 months ago
Towards Semantic Modeling of Network Physical Devices
One of the challenges faced by network management systems is the increasing need for consistent management of physical network equipment. We propose a solution where equipment is m...
Krzysztof Miksa, Marek Kasztelnik, Pawel Sabina, T...
220
Voted
ISSRE
2008
IEEE
16 years 1 months ago
Using Fault Modeling in Safety Cases
For many safety-critical systems a safety case is built as part of the certification or acceptance process. The safety case assembles evidence to justify that the design and imple...
Robyn R. Lutz, Ann Patterson-Hine
DIS
2007
Springer
16 years 1 months ago
Fast NML Computation for Naive Bayes Models
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Tommi Mononen, Petri Myllymäki