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» Embedding Heterogeneous Data Using Statistical Models
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99
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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 4 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
91
Voted
DAGSTUHL
2007
15 years 2 months ago
Parallel universes to improve the diagnosis of cardiac arrhythmias
arrhythmias (extended abstract) Elisa Fromont, Ren´e Quiniou, Marie-Odile Cordier We are interested in using parallel universes to learn interpretable models that can be subseque...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
SIGMETRICS
2010
ACM
143views Hardware» more  SIGMETRICS 2010»
15 years 5 months ago
Practical performance models for complex, popular applications
Perhaps surprisingly, no practical performance models exist for popular (and complex) client applications such as Adobe’s Creative Suite, Microsoft’s Office and Visual Studio...
Eno Thereska, Bjoern Doebel, Alice X. Zheng, Peter...
COMCOM
2004
145views more  COMCOM 2004»
15 years 13 days ago
Framework based on stochastic L-Systems for modeling IP traffic with multifractal behavior
In a previous work we have introduced a multifractal traffic model based on so-called stochastic L-Systems, which were introduced by biologist A. Lindenmayer as a method to model ...
Paulo Salvador, António Nogueira, Rui T. Va...
NIPS
2003
15 years 1 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli