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» On the Consistency of Discrete Bayesian Learning
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AAAI
2008
15 years 2 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
IJON
1998
102views more  IJON 1998»
14 years 11 months ago
Developments of the generative topographic mapping
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
Christopher M. Bishop, Markus Svensén, Chri...
ICML
2005
IEEE
16 years 16 days ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
AAAI
1996
15 years 1 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken
ICIAR
2007
Springer
15 years 5 months ago
Solving the Inverse Problem of Image Zooming Using "Self-Examples"
Abstract. In this paper we present a novel single-frame image zooming technique based on so-called “self-examples”. Our method combines the ideas of fractal-based image zooming...
Mehran Ebrahimi, Edward R. Vrscay