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CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 4 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
ACTAC
2006
94views more  ACTAC 2006»
15 years 4 months ago
A Hierarchical Evaluation Methodology in Speech Recognition
In speech recognition vast hypothesis spaces are generated, so the search methods used and their speedup techniques are both of great importance. One way of getting a speedup gain...
Gábor Gosztolya, András Kocsor
ENGL
2008
98views more  ENGL 2008»
15 years 4 months ago
A New Wavelet Back Propagation Neural Networks for Structural Dynamic Analysis
dynamic analysis of structures for earthquake induced loads is very expensive in terms of the computational burden. In this study, to reduce the computational effort a new neural s...
R. Kamyab Moghadas, S. Gholizadeh
ENTCS
2008
97views more  ENTCS 2008»
15 years 4 months ago
Meta-programming With Built-in Type Equality
We report our experience with exploring a new point in the design space for formal reasoning systems: the development of the programming language mega. mega is intended as both a ...
Tim Sheard, Emir Pasalic
AROBOTS
2006
119views more  AROBOTS 2006»
15 years 4 months ago
A Discussion of Simultaneous Localization and Mapping
This paper aims at a discussion of the structure of the SLAM problem. The analysis is not strictly formal but based both on informal studies and mathematical derivation. The first ...
Udo Frese