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» On a theory of learning with similarity functions
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CORR
2011
Springer
230views Education» more  CORR 2011»
13 years 2 months ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
ICPR
2006
IEEE
14 years 8 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
WWW
2009
ACM
14 years 8 months ago
Search shortcuts: driving users towards their goals
Giving suggestions to users of Web-based services is a common practice aimed at enhancing their navigation experience. Major Web Search Engines usually provide Suggestions under t...
Ranieri Baraglia, Fidel Cacheda, Victor Carneiro, ...
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 8 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
COLT
2004
Springer
14 years 1 months ago
Convergence of Discrete MDL for Sequential Prediction
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
Jan Poland, Marcus Hutter