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NIPS
2008
15 years 5 months ago
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Multi-level hierarchical models provide an attractive framework for incorporating correlations induced in a response variable organized in a hierarchy. Model fitting is challengin...
Liang Zhang, Deepak Agarwal
GFKL
2005
Springer
82views Data Mining» more  GFKL 2005»
15 years 10 months ago
Robust Multivariate Methods: The Projection Pursuit Approach
Projection pursuit was originally introduced to identify structures in multivariate data clouds (Huber, 1985). The idea of projecting data to a lowdimensional subspace can also be ...
Peter Filzmoser, Sven Serneels, Christophe Croux, ...
ECML
2004
Springer
15 years 9 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 4 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
SIAMCOMP
2000
79views more  SIAMCOMP 2000»
15 years 4 months ago
Optimal Worst Case Formulas Comparing Cache Memory Associativity
ct Consider an arbitrary program P which is to be executed on a computer with two alternative cache memories. The rst cache has k sets and u blocks in each set, this is denoted a ...
Håkan Lennerstad, Lars Lundberg