1601 search results - page 50 / 321 » Learning Gaussian processes from multiple tasks |
166
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
123
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We study an approach for performing concurrent activities in Markov decision processes (MDPs) based on the coarticulation framework. We assume that the agent has multiple degrees ...
133
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WEBI
2010
Springer
15 years 1 months ago
2010
Springer
We propose using multi-layer multiple instance learning (MMIL) for image set classification and applying it to the task of cannabis website classification. We treat each image as a...
132
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CIARP
2009
Springer
15 years 10 months ago
2009
Springer
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
101
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KCAP
2009
ACM
15 years 9 months ago
2009
ACM
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...