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JMLR
2010
129views more  JMLR 2010»
14 years 11 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
SAC
2006
ACM
15 years 10 months ago
Implementing an embedded GPU language by combining translation and generation
Dynamic languages typically allow programs to be written y high level of abstraction. But their dynamic nature makes it very hard to compile such languages, meaning that a price h...
Calle Lejdfors, Lennart Ohlsson
SAC
2005
ACM
15 years 9 months ago
Pollock: automatic generation of virtual web services from web sites
As the usage of Web Services proliferates dramatically, new tools to help quickly generate web services are needed. In this paper, we propose a methodology that helps to automatic...
Yi-Hsuan Lu, Yoojin Hong, Jinesh Varia, Dongwon Le...
EXACT
2008
15 years 6 months ago
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
Francisco Elizalde, Luis Enrique Sucar, Julieta No...
AAAI
1994
15 years 5 months ago
Model-Based Automated Generation of User Interfaces
1 User interface design and development for knowledgebased systems and most other types of applications is a resource-consuming activity. Thus, many attempts have been made to auto...
Angel R. Puerta, Henrik Eriksson, John H. Gennari,...