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203
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ICML
2005
IEEE
16 years 8 months ago
New d-separation identification results for learning continuous latent variable models
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...
Ricardo Silva, Richard Scheines
ICIAP
2007
ACM
16 years 7 months ago
Sparseness Achievement in Hidden Markov Models
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
Manuele Bicego, Marco Cristani, Vittorio Murino
181
Voted
ISCC
2009
IEEE
130views Communications» more  ISCC 2009»
16 years 2 months ago
Context-aware publish-subscribe: Model, implementation, and evaluation
Complex communication patterns often need to take into account the situation in which the information to be communicated is produced or consumed. Publish-subscribe, and particular...
Gianpaolo Cugola, Alessandro Margara, Matteo Migli...
181
Voted
IUI
2006
ACM
16 years 1 months ago
Topic modeling in fringe word prediction for AAC
Word prediction can be used for enhancing the communication ability of persons with speech and language impairments. In this work, we explore two methods of adapting a language mo...
Keith Trnka, Debra Yarrington, Kathleen F. McCoy, ...
175
Voted
BPM
2009
Springer
163views Business» more  BPM 2009»
15 years 11 months ago
Declarative versus Imperative Process Modeling Languages: The Issue of Maintainability
Abstract. The rise of interest in declarative languages for process modeling both justifies and demands empirical investigations into their presumed advantages over more traditiona...
Dirk Fahland, Jan Mendling, Hajo A. Reijers, Barba...