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» The Hardness of Metric Labeling
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ORL
2008
86views more  ORL 2008»
13 years 7 months ago
Searching the k-change neighborhood for TSP is W[1]-hard
We show that searching the k-change neighborhood is W[1]-hard for metric TSP, which means that finding the best tour in the k-change neighborhood essentially requires complete sea...
Dániel Marx
SIGMETRICS
2006
ACM
116views Hardware» more  SIGMETRICS 2006»
14 years 2 months ago
Applying architectural vulnerability Analysis to hard faults in the microprocessor
In this paper, we present a new metric, Hard-Fault Architectural Vulnerability Factor (H-AVF), to allow designers to more effectively compare alternate hard-fault tolerance scheme...
Fred A. Bower, Derek Hower, Mahmut Yilmaz, Daniel ...
JAIR
2000
105views more  JAIR 2000»
13 years 7 months ago
Reasoning on Interval and Point-based Disjunctive Metric Constraints in Temporal Contexts
We introduce a temporal model for reasoning on disjunctive metric constraints on intervals and time points in temporal contexts. This temporal model is composed of a labeled tempo...
Federico Barber
CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 8 months ago
Hardness Results for Agnostically Learning Low-Degree Polynomial Threshold Functions
Hardness results for maximum agreement problems have close connections to hardness results for proper learning in computational learning theory. In this paper we prove two hardnes...
Ilias Diakonikolas, Ryan O'Donnell, Rocco A. Serve...
KDD
2008
ACM
148views Data Mining» more  KDD 2008»
14 years 8 months ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...