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» Generality Is Predictive of Prediction Accuracy
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ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
16 years 13 days ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
UIST
2000
ACM
15 years 11 months ago
System lag tests for augmented and virtual environments
We describe a simple technique for accurately calibrating the temporal lag in augmented and virtual environments within the Enhanced Virtual Hand Lab (EVHL), a collection of hardw...
Colin Swindells, John Dill, Kellogg S. Booth
EUROMICRO
2004
IEEE
15 years 10 months ago
An Experimental Framework for Testing Web Prefetching Techniques
The popularity of web objects, and by extension the popularity of the web sites, besides the appearance of clear footprints in user's accesses that show a considerable spatia...
Josep Domènech, Ana Pont, Julio Sahuquillo,...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
ICML
1994
IEEE
15 years 10 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak