769 search results - page 40 / 154 » Bayesian Generalized Kernel Models |
NIPS
2007
14 years 12 days ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
RSS
2007
14 years 12 days ago
2007
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
PPSC
1997
14 years 9 days ago
1997
We discuss the role of Java and Web technologies for general simulation. We classify the classes of concurrency typical in problems and analyze separately the role of Java in user...
UAI
1996
14 years 8 days ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...