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JMLR
2010
155views more  JMLR 2010»
13 years 2 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
ISBI
2008
IEEE
14 years 8 months ago
Innovation modelling and wavelet analysis of fractal processes in bio-imaging
Growth and form in biology are often associated with some level of fractality. Fractal characteristics have also been noted in a number of imaging modalities. These observations m...
Pouya Dehghani Tafti, Dimitri Van De Ville, Michae...
OZCHI
2009
ACM
14 years 7 days ago
When three worlds collide: a model of the tangible interaction process
The design of Tangible Interfaces has already evolved since the first projects were developed. Frameworks and taxonomies have helped to understand the field of Tangible Interactio...
Marc Hermann, Michael Weber
IJFCS
2006
130views more  IJFCS 2006»
13 years 7 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
AAAI
1997
13 years 9 months ago
Benefits of Learning in Negotiation
Negotiation has been extensively discussed in gametheoretic, economic, and management science literatures for decades. Recent growing interest in electronic commerce has given inc...
Dajun Zeng, Katia P. Sycara