135 search results - page 18 / 27 » A Database-Hadoop Hybrid Approach to Scalable Machine Learni... |
151
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
137
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
157
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
161
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MLDM
2007
Springer
15 years 10 months ago
2007
Springer
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
129
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...