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JMLR
2008
188views more  JMLR 2008»
15 years 6 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
ICALP
1999
Springer
15 years 10 months ago
Wide Area Computation
Abstract. The last decades have seen the emergence of the sea of objects paradigm for structuring complex distributed systems on workstations and local area networks. In this appro...
Luca Cardelli
FLAIRS
2008
15 years 8 months ago
Small Models of Large Machines
In this paper, we model large support vector machines (SVMs) by smaller networks in order to decrease the computational cost. The key idea is to generate additional training patte...
Pramod Lakshmi Narasimha, Sanjeev S. Malalur, Mich...
CN
1999
98views more  CN 1999»
15 years 6 months ago
Managing application level quality of service through TOMTEN
With the growth of mobile computing, users will have simultaneous access to multiple overlaid networks, each with Zdifferent characteristics, services and costs. This paper introd...
R. De Silva, Björn Landfeldt, Sebastien Ardon...
BMCBI
2007
197views more  BMCBI 2007»
15 years 6 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park