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ESOP
2011
Springer
14 years 1 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
MABS
2000
Springer
15 years 1 months ago
The Use of Models - Making MABS More Informative
g of target systems attempted but rather an abstraction of the target systems is modelled and insights bout the abstraction then applied back to the target systems. The MABS modell...
Bruce Edmonds
ACL
1998
14 years 11 months ago
Generating the Structure of Argument
This paper demonstrates that generating arguments in natural language requires at an abstract level, and that the ate abstraction cannot be captured by approaches based solely upo...
Chris Reed, Derek Long
PRICAI
2010
Springer
14 years 8 months ago
Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval
Conventional methods for multimodal data retrieval use text-tag based or cross-modal approaches such as tag-image co-occurrence and canonical correlation analysis. Since there are ...
JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Z...
IROS
2009
IEEE
153views Robotics» more  IROS 2009»
15 years 4 months ago
Symbolic modeling of driving behavior based on hierarchical segmentation and formal grammar
Abstract— This paper presents a new hierarchical segmentation of the observed driving behavioral data based on the levels of abstraction of the underlying dynamics. By synthesizi...
Ato Nakano, Hiroyuki Okuda, Tatsuya Suzuki, Shinki...