4773 search results - page 471 / 955 » Learning from Uncertain Data |
180
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PATAT
2004
Springer
16 years 12 days ago
2004
Springer
Abstract. Within the ļ¬eld of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
235
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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...
213
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ECML
2001
Springer
15 years 11 months 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 speciļ...
191
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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...
209
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RSS
2007
15 years 8 months ago
2007
Abstractā This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robotās mechanical sensors as ...