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UAI
2003
15 years 8 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
UAI
2003
15 years 8 months ago
Robust Independence Testing for Constraint-Based Learning of Causal Structure
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Denver Dash, Marek J. Druzdzel
VCIP
2003
146views Communications» more  VCIP 2003»
15 years 8 months ago
A segmentation system with model-assisted completion of video objects
This paper presents a new algorithm for video-object segmentation, which combines motion-based segmentation, high-level object-model detection, and spatial segmentation into a sin...
Dirk Farin, Peter H. N. de With, Wolfgang Effelsbe...
TPCD
1994
157views Hardware» more  TPCD 1994»
15 years 8 months ago
Non-Restoring Integer Square Root: A Case Study in Design by Principled Optimization
Theorem proving techniques are particularly well suited for reasoning about arithmetic above the bit level and for relating di erent f abstraction. In this paper we show how a non-...
John W. O'Leary, Miriam Leeser, Jason Hickey, Mark...
CLEF
2010
Springer
15 years 8 months ago
A Multi Cue Discriminative Approach to Semantic Place Classification
This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple...
Marco Fornoni, Jesus Martínez-Gómez,...