1900 search results - page 207 / 380 » Gaussian Processes in Machine Learning |
84
Voted
ICTAI
2009
IEEE
15 years 7 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
ICDS
2010
IEEE
15 years 5 months ago
2010
IEEE
—Learning ontology from text is a challenge in knowledge engineering research and practice. Learning relations between concepts is even more difficult work. However, when conside...
109
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
During face-to-face conversation, the speaker’s head is continually in motion. These movements serve a variety of important communicative functions. Our goal is to develop a mod...
104
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based o...
142
Voted
CORR
2011
Springer
14 years 7 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...