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...
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...
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...
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...
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...