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» The Tradeoffs of Large Scale Learning
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ICML
2009
IEEE
14 years 8 months ago
Bayesian inference for Plackett-Luce ranking models
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
John Guiver, Edward Snelson
ICML
2006
IEEE
14 years 8 months ago
Efficient co-regularised least squares regression
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
Stefan Wrobel, Thomas Gärtner, Tobias Scheffe...
ICML
2006
IEEE
14 years 8 months ago
Robust Euclidean embedding
We derive a robust Euclidean embedding procedure based on semidefinite programming that may be used in place of the popular classical multidimensional scaling (cMDS) algorithm. We...
Lawrence Cayton, Sanjoy Dasgupta
WACV
2005
IEEE
14 years 1 months ago
Shared Features for Scalable Appearance-Based Object Recognition
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Erik Murphy-Chutorian, Jochen Triesch
APWEB
2006
Springer
13 years 11 months ago
Multi-agent Web Text Mining on the Grid for Enterprise Decision Support
Abstract. In this study, a multi-agent web text mining system on the grid is developed to support enterprise decision-making. First, an individual intelligent learning agent that l...
Kin Keung Lai, Lean Yu, Shouyang Wang