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» A distributed machine learning framework
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SASO
2008
IEEE
15 years 9 months ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...
122
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CLOUD
2010
ACM
15 years 8 months ago
Differential virtual time (DVT): rethinking I/O service differentiation for virtual machines
This paper investigates what it entails to provide I/O service differentiation and performance isolation for virtual machines on individual multicore nodes in cloud platforms. Sh...
Mukil Kesavan, Ada Gavrilovska, Karsten Schwan
ICALT
2008
IEEE
15 years 9 months ago
Deriving E-Assessment from a Competency Model
Self-assessment is a crucial component of learning. Creating effective questions is time-consuming, however, because it may require considerable resources and the skill of critica...
Onjira Sitthisak, Lester Gilbert, Hugh C. Davis
COLT
1993
Springer
15 years 7 months ago
Lower Bounds on the Vapnik-Chervonenkis Dimension of Multi-Layer Threshold Networks
We consider the problem of learning in multilayer feed-forward networks of linear threshold units. We show that the Vapnik-Chervonenkis dimension of the class of functions that ca...
Peter L. Bartlett
COLT
1991
Springer
15 years 6 months ago
Improved Learning of AC0 Functions
Two extensions of the Linial, Mansour, Nisan AC0 learning algorithm are presented. The LMN method works when input examples are drawn uniformly. The new algorithmsimprove on their...
Merrick L. Furst, Jeffrey C. Jackson, Sean W. Smit...