4591 search results - page 320 / 919 » Learning from Dyadic Data |
150
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MICAI
2009
Springer
16 years 18 days ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
153
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ICML
2005
IEEE
16 years 6 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
167
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ICDM
2009
IEEE
16 years 21 days ago
2009
IEEE
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
176
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ISCAS
2008
IEEE
16 years 13 days ago
2008
IEEE
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
153
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ICDM
2007
IEEE
16 years 11 days ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...