ALMOB
2006
14 years 15 days ago
2006
Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
ACL
1997
14 years 1 months ago
1997
We describe a simple variant of the interpolated Markov model with nonemitting state transitions and prove that it is strictly more powerful than any Markov model. More importantl...
ECML
2006
Springer
14 years 4 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
AUSDM
2006
Springer
14 years 4 months ago
2006
Springer
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
DEBS
2010
ACM
14 years 4 months ago
2010
ACM
A new publish/subscribe capability is presented: the ability to predict the likelihood that a subscription will be matched at some point in the future. Composite subscriptions con...
ACMSE
1992
ACM
14 years 4 months ago
1992
ACM
A scheme for disk subsystem performance enhancement that is based on (virtual) cylinder remapping is proposed. A natural workload on a real system is measured, and statistical tes...
ICPR
2000
IEEE
14 years 4 months ago
2000
IEEE
We introduce an online adaptive algorithm for learning gesture models. By learning gesture models in an online fashion, the gesture recognition process is made more robust, and th...
MMB
2004
Springer
14 years 5 months ago
2004
Springer
In this paper, we propose a general survivability quantification framework which is applicable to a wide range of system architectures, applications, failure/recovery behaviors, ...
CDC
2008
IEEE
14 years 7 months ago
2008
IEEE
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...