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MLDM
2005
Springer
14 years 1 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé
CHI
2003
ACM
14 years 23 days ago
Assessing the value of a cursor pointing device for remote collaboration on physical tasks
This study assessed the value of a cursor pointer that allows remote collaborators to point to locations in a partner’s workspace via a shared video feed. We compared performanc...
Susan R. Fussell, Leslie D. Setlock, Elizabeth M. ...
PCI
2001
Springer
13 years 12 months ago
An Experimental Evaluation of a Monte-Carlo Algorithm for Singular Value Decomposition
We demonstrate that an algorithm proposed by Drineas et. al. in [7] to approximate the singular vectors/values of a matrix A, is not only of theoretical interest but also a fast, v...
Petros Drineas, Eleni Drinea, Patrick S. Huggins
PERCOM
2010
ACM
13 years 5 months ago
Faster Bayesian context inference by using dynamic value ranges
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
Korbinian Frank, Patrick Robertson, Sergio Fortes ...
JMLR
2010
144views more  JMLR 2010»
13 years 2 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko