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CVPR
1997
IEEE
15 years 6 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
148
Voted
COMMA
2010
14 years 9 months ago
Integrating Dialectical and Accrual Modes of Argumentation
Abstract. This paper argues that accrual should be modelled in terms of reasoning about the application of preferences to sets of arguments, and shows how such reasoning can be for...
Sanjay Modgil, Trevor J. M. Bench-Capon
122
Voted
NIPS
2003
15 years 3 months ago
Model Uncertainty in Classical Conditioning
We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...
Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. ...
COMPLEX
2009
Springer
15 years 6 months ago
A Comparative Analysis of Specific Spatial Network Topological Models
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
Jun Wang, Gregory M. Provan
AH
2008
Springer
15 years 8 months ago
VUMA: A Visual User Modelling Approach for the Personalisation of Adaptive Systems
Current approaches to explicit user modelling are generally time consuming and tedious for the user. Oftentimes poor usability and overly long questionnaires deter the end user fro...
Melanie B. Späth, Owen Conlan