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CIMCA
2005
IEEE
14 years 1 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
CVPR
2009
IEEE
15 years 2 months ago
A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Much research effort on Automatic Image Annotation (AIA) has been focused on Generative Model, due to its well formed theory and competitive performance as compared with many we...
Yu Xiang (Fudan University), Xiangdong Zhou (Fudan...
BMCBI
2008
214views more  BMCBI 2008»
13 years 6 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
OOPSLA
2009
Springer
14 years 7 days ago
MT-scribe: a tool for recording and inferring model transformations
The traditional model transformation approach is to write transformation programs in a specialized language. Although such languages provide powerful capabilities to automate mode...
Yu Sun, Jeff Gray, Jules White
WCRE
2007
IEEE
14 years 1 months ago
Recovering Data Models via Guarded Dependences
This paper presents an algorithm for reverse engineering semantically sound object-oriented data models from programs written in weakly-typed languages like Cobol. Our inference i...
Raghavan Komondoor, G. Ramalingam