286 search results - page 33 / 58 » A Markov Chain Model of the B-Cell Algorithm |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
KDD
2004
ACM
14 years 27 days ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
CASCON
2001
13 years 9 months ago
2001
Of the many tuning parameters available in a database management system (DBMS), one of the most crucial to performance is the buffer pool size. Choosing an appropriate size, howev...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
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...
CDC
2009
IEEE
14 years 7 days ago
2009
IEEE
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...