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JMLR
2010
129views more  JMLR 2010»
14 years 10 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
DATE
2008
IEEE
113views Hardware» more  DATE 2008»
15 years 9 months ago
Random Stimulus Generation using Entropy and XOR Constraints
Despite the growing research effort in formal verification, constraint-based random simulation remains an integral part of design validation, especially for large design componen...
Stephen Plaza, Igor L. Markov, Valeria Bertacco
SAC
2005
ACM
15 years 8 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...
UIST
2003
ACM
15 years 8 months ago
GADGET: a toolkit for optimization-based approaches to interface and display generation
Recent work is beginning to reveal the potential of numerical optimization as an approach to generating interfaces and displays. Optimization-based approaches can often allow a mi...
James Fogarty, Scott E. Hudson
115
Voted
EXACT
2008
15 years 5 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...