Sciweavers

206 search results - page 12 / 42
» Automated neuron model optimization techniques: a review
Sort
View
SAB
2004
Springer
159views Optimization» more  SAB 2004»
14 years 1 months ago
Swarming Behavior Using Probabilistic Roadmap Techniques
While techniques exist for simulating swarming behaviors, these methods usually provide only simplistic navigation and planning capabilities. In this review, we explore the benefi...
O. Burçhan Bayazit, Jyh-Ming Lien, Nancy M....
JCNS
2010
104views more  JCNS 2010»
13 years 6 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
CSDA
2006
142views more  CSDA 2006»
13 years 8 months ago
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
Fitting of non-Gaussian hierarchical random effects models by approximate maximum likelihood can be made automatic to the same extent that Bayesian model fitting can be automated ...
Hans J. Skaug, David A. Fournier
ICCAD
2007
IEEE
165views Hardware» more  ICCAD 2007»
14 years 8 days ago
Automated refinement checking of concurrent systems
Stepwise refinement is at the core of many approaches to synthesis and optimization of hardware and software systems. For instance, it can be used to build a synthesis approach for...
Sudipta Kundu, Sorin Lerner, Rajesh Gupta
WSC
1997
13 years 9 months ago
On the Efficiency of the Splitting and Roulette Approach for Sensitivity Analysis
The paper is devoted to a brief review of a mathematical theory for the branching variance-reduction technique. The branching technique is an extension of von Neumann’s splittin...
Viatcheslav B. Melas