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ICML
2005
IEEE
16 years 7 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
CIKM
2009
Springer
16 years 1 months ago
Text segmentation via topic modeling: an analytical study
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
Hemant Misra, François Yvon, Joemon M. Jose...
ICFEM
2009
Springer
16 years 1 months ago
Implementing and Applying the Stocks-Carrington Framework for Model-Based Testing
In this paper we describe the functional features and the architecture of a tool implementing the Stocks-Carrington framework (TTF) for model based testing (MBT). The resulting pro...
Maximiliano Cristiá, Pablo Rodríguez...
DOCENG
2006
ACM
16 years 1 months ago
The limsee3 multimedia authoring model
For most users, authoring multimedia documents remains a complex task. One solution to deal with this problem is to provide template-based authoring tools but with the drawback of...
Romain Deltour, Cécile Roisin
IJCAI
1989
15 years 8 months ago
An Adaptive Model of Decision-Making in Planning
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...
Gregg Collins, Lawrence Birnbaum, Bruce Krulwich