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» Kauffman networks: analysis and applications
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ICMLA
2007
15 years 7 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
HICSS
2006
IEEE
132views Biometrics» more  HICSS 2006»
16 years 14 days ago
Supporting the Module Sequencing Decision in the ERP Implementation Process
An important part of the Enterprise Resource Planning (ERP) system implementation process is the decision, which modules are implemented and in which order. We posit that the deci...
Petri Hallikainen, Harri Kimpimäki, Hannu Kiv...
CORR
2004
Springer
147views Education» more  CORR 2004»
15 years 6 months ago
Collaborative Storage Management In Sensor Networks
In this paper, we consider a class of sensor networks where the data is not required in real-time by an observer; for example, a sensor network monitoring a scientific phenomenon ...
Sameer Tilak, Nael B. Abu-Ghazaleh, Wendi Rabiner ...
RTSS
2009
IEEE
16 years 1 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
IPSN
2004
Springer
15 years 11 months ago
Nonparametric belief propagation for self-calibration in sensor networks
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...