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HCI
2007
15 years 1 months ago
Evaluating Usability Evaluation Methods: Criteria, Method and a Case Study
The paper proposes an approach to comparative usability evaluation that incorporates important relevant criteria identified in previous work. It applies the proposed approach to a ...
Panayiotis Koutsabasis, Thomas Spyrou, John Darzen...
JMLR
2012
13 years 2 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
COLT
2010
Springer
14 years 9 months ago
Composite Objective Mirror Descent
We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstor...
John Duchi, Shai Shalev-Shwartz, Yoram Singer, Amb...
JMLR
2010
198views more  JMLR 2010»
14 years 10 months ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
ICANN
2011
Springer
14 years 3 months ago
Learning Curves for Gaussian Processes via Numerical Cubature Integration
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...
Simo Särkkä