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ALMOB
2006
80views more  ALMOB 2006»
13 years 4 months ago
Pattern statistics on Markov chains and sensitivity to parameter estimation
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...
Grégory Nuel
ACL
1997
13 years 5 months ago
Hierarchical Non-Emitting Markov Models
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...
Eric Sven Ristad, Robert G. Thomas
ECML
2006
Springer
13 years 8 months ago
PAC-Learning of Markov Models with Hidden State
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...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
13 years 8 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
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...
Faten Khalil, Jiuyong Li, Hua Wang
DEBS
2010
ACM
13 years 8 months ago
Predictive publish/subscribe matching
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...
Vinod Muthusamy, Haifeng Liu, Hans-Arno Jacobsen
ACMSE
1992
ACM
13 years 8 months ago
Disk performance enhancement through Markov-based cylinder remapping
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...
Robert Geist, Darrell Suggs, Robert G. Reynolds, S...
ICPR
2000
IEEE
13 years 8 months ago
Realtime Online Adaptive Gesture Recognition
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...
Andrew D. Wilson, Aaron F. Bobick
MMB
2004
Springer
124views Communications» more  MMB 2004»
13 years 9 months ago
A General Framework for Network Survivability Quantification
In this paper, we propose a general survivability quantification framework which is applicable to a wide range of system architectures, applications, failure/recovery behaviors, ...
Yun Liu, Kishor S. Trivedi
CDC
2008
IEEE
13 years 10 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— 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 ...
Sean P. Meyn, George Mathew