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» Cascade Process Modeling with Mechanism-Based Hierarchical N...
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JMLR
2012
11 years 7 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
NECO
2002
145views more  NECO 2002»
13 years 4 months ago
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
Aki Vehtari, Jouko Lampinen
JBCB
2007
161views more  JBCB 2007»
13 years 5 months ago
On Cooperative Quasi-Equilibrium Models of transcriptional Regulation
Mechanistic models for transcriptional regulation are derived using the methods of equilibrium statistical mechanics, to model equilibrating processes that occur at a fast time sc...
Eric Mjolsness
TSMC
1998
93views more  TSMC 1998»
13 years 4 months ago
Toward a completely automatic neural-network-based human chromosome analysis
Abstract—The application of neural networks (NN’s) to automatic analysis of chromosome images is investigated in this paper. All aspects of the analysis, namely segmentation, f...
Boaz Lerner