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» Learning Gaussian processes from multiple tasks
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IDA
2008
Springer
15 years 3 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
IV
2006
IEEE
82views Visualization» more  IV 2006»
15 years 9 months ago
Two sides of the story: Visualising Products and Processes in Engineering Design
This paper describes research on the use of multiple views for modelling products and processes in the design of complex products. Single visual representations of design models o...
René Keller, Tomás L. Flanagan, Clau...
3DPH
2009
163views Healthcare» more  3DPH 2009»
15 years 4 months ago
Discriminative Human Full-Body Pose Estimation from Wearable Inertial Sensor Data
Abstract. In this paper, a method is presented that allows reconstructing the full-body pose of a person in real-time, based on the limited input from a few wearable inertial senso...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
SEMWEB
2009
Springer
15 years 10 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross trainingâ€...
Yefei Peng, Paul W. Munro, Ming Mao
JMLR
2007
137views more  JMLR 2007»
15 years 3 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...