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» Learning from Multiple Sources of Inaccurate Data
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ASPLOS
2008
ACM
15 years 5 months ago
Understanding and visualizing full systems with data flow tomography
It is not uncommon for modern systems to be composed of a variety of interacting services, running across multiple machines in such a way that most developers do not really unders...
Shashidhar Mysore, Bita Mazloom, Banit Agrawal, Ti...
227
Voted
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
16 years 3 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
CVPR
2007
IEEE
15 years 9 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
137
Voted
BMCBI
2010
133views more  BMCBI 2010»
15 years 3 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
117
Voted
ICML
2006
IEEE
16 years 4 months ago
A DC-programming algorithm for kernel selection
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...