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NIPS
2007
15 years 5 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht
NIPS
2007
15 years 5 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
PDPTA
2007
15 years 5 months ago
Generic Parallel Processing Techniques for Nanoscale Spin-Wave Architectures
- In this paper, we study the algorithm design aspects of three newly developed spin-wave architectures. The architectures are capable of simultaneously transmitting multiple signa...
Mary Mehrnoosh Eshaghian-Wilner, Shiva Navab
BDA
2004
15 years 5 months ago
Path Sequence-Based XML Query Processing
We present the path sequence storage model, a new logical model for storing XML documents. This model partitions XML data and content according to the document paths; and uses orde...
Ioana Manolescu, Andrei Arion, Angela Bonifati, An...
145
Voted
CATA
2006
15 years 5 months ago
Understanding the Behavior of Simultaneous Multithreaded and Multiprocessor Architectures
Neither simulation results nor real system results give an explanation to the behavior of advanced computer systems for the full design spectrum. In this paper, we present simple ...
Nagi N. Mekhiel