4591 search results - page 438 / 919 » Learning from Dyadic Data |
198
Voted
PATAT
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
250
Voted
JMLR
2011
15 years 2 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
209
Voted
RSS
2007
15 years 9 months ago
2007
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
231
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ECML
2001
Springer
16 years 5 days ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
207
Voted
CIKM
2008
Springer
15 years 9 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...