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NIPS
1998
13 years 9 months ago
Efficient Bayesian Parameter Estimation in Large Discrete Domains
In this paper we examine the problem of estimating the parameters of a multinomial distribution over a large number of discreteoutcomes,most of which do not appearin the training ...
Nir Friedman, Yoram Singer
SAC
2008
ACM
13 years 7 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
ISCAS
2006
IEEE
114views Hardware» more  ISCAS 2006»
14 years 1 months ago
Characterization of a metastability measurement system
—We characterize the metastability measurement system [8] in which asynchronous data input and sampling clock frequencies trigger metastability. We develop the equation describin...
Antonio Cantoni, Jacqueline Walker
CCA
2005
Springer
13 years 9 months ago
Computable Versions of Basic Theorems in Functional Analysis
If one wishes to find out whether a computational problem over discrete data is solvable or how complex it is, the classical approach is to represent the discrete objects in quest...
Atsushi Yoshikawa, Mariko Yasugi
JSAI
2001
Springer
14 years 3 days ago
Basket Analysis on Meningitis Data
Basket Analysis is the most representative approach in recent study of data mining. However, it cannot be directly applied to the data including numeric data. In this paper, we cl...
Takayuki Ikeda, Takashi Washio, Hiroshi Motoda