363 search results - page 31 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
184
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SEAL
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
152
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IROS
2009
IEEE
15 years 11 months ago
2009
IEEE
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
161
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AAAI
2008
15 years 7 months ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
155
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LCPC
1997
Springer
15 years 9 months ago
1997
Springer
The data distribution problem is very complex, because it involves trade-offdecisions between minimizing communication and maximizing parallelism. A common approach towards solving...
134
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
We present a discrete spectral framework for the sparse or cardinality-constrained solution of a generalized Rayleigh quotient. This NPhard combinatorial optimization problem is c...