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» Abstraction in Predictive State Representations
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JCSS
2007
116views more  JCSS 2007»
14 years 9 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
TNN
2010
173views Management» more  TNN 2010»
14 years 4 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
UM
2007
Springer
15 years 3 months ago
A Practical Activity Capture Framework for Personal, Lifetime User Modeling
Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...
Max Van Kleek, Howard E. Shrobe
SSPR
2004
Springer
15 years 3 months ago
Understanding Human-Computer Interactions in Map Revision
Abstract. It is difficult to track, parse and model human-computer interactions during editing and revising of documents, but it is necessary if we are to develop automated technol...
Jun Zhou, Walter F. Bischof, Terry Caelli
UCS
2004
Springer
15 years 3 months ago
Dependable Coding of Fiducial Tags
Fiducial tags can be recognised successfully and decoded by computer vision systems in order to produce location information. We term a system dependable if its observable results ...
Andrew C. Rice, Christopher B. Cain, John K. Fawce...