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131
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NIPS
2007
15 years 4 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
SYRCODIS
2008
104views Database» more  SYRCODIS 2008»
15 years 4 months ago
Search Request Routing in Bittorrent and other P2P based File Sharing Networks
Existing p2p file sharing networks doesn't always give their users abilities to make an effective and fast searches for particular data. In this paper we introduce some impro...
Konstantin Scherbakov
126
Voted
NAACL
2003
15 years 4 months ago
Simpler and More General Minimization for Weighted Finite-State Automata
Previous work on minimizing weighted finite-state automata (including transducers) is limited to particular types of weights. We present efficient new minimization algorithms th...
Jason Eisner
136
Voted
NIPS
2003
15 years 4 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
153
Voted
SYRCODIS
2007
106views Database» more  SYRCODIS 2007»
15 years 4 months ago
Geometrical Approach for Modeling Semantics in Linguistics
The information is at the present time often saved and available in electronic form. With still increasing quantity of accessible, most frequently text information, the need of or...
Milan Gudaba, Stanislav Horal, Ladislav Izakovic, ...