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EWCBR
2004
Springer
14 years 2 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake
TOOLS
2010
IEEE
13 years 6 months ago
Visualizing Dynamic Metrics with Profiling Blueprints
While traditional approaches to code profiling help locate performance bottlenecks, they offer only limited support for removing these bottlenecks. The main reason is the lack of v...
Alexandre Bergel, Romain Robbes, Walter Binder
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 9 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
ISPASS
2008
IEEE
14 years 3 months ago
Metrics for Architecture-Level Lifetime Reliability Analysis
Abstract— This work concerns metrics for evaluating microarchitectural enhancements to improve processor lifetime reliability. A commonly reported reliability metric is mean time...
Pradeep Ramachandran, Sarita V. Adve, Pradip Bose,...
BMCBI
2011
13 years 13 days ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto