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IJCAI
2007
15 years 8 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
ICANN
2010
Springer
15 years 7 months ago
Learning Invariant Visual Shape Representations from Physics
3D shape determines an object's physical properties to a large degree. In this article, we introduce an autonomous learning system for categorizing 3D shape of simulated objec...
Mathias Franzius, Heiko Wersing
SAC
2005
ACM
16 years 7 days ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
ICALT
2006
IEEE
16 years 22 days ago
The Generation of E-Learning Exercise Problems from Subject Ontologies
The teaching/ learning of cognitive skills, such as problem-solving, is an important goal in most forms of education. In well-structured subject areas certain exercise problem typ...
Edmond Holohan, Mark Melia, Declan McMullen, Claus...
EVOW
2006
Springer
15 years 10 months ago
Synthesising Timbres and Timbre-Changes from Adjectives/Adverbs
Synthesising timbres and changes to timbres from natural language descriptions is an interesting challenge for computer music. This paper describes the current state of an ongoing ...
Alex Gounaropoulos, Colin G. Johnson