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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 10 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
CDC
2008
IEEE
156views Control Systems» more  CDC 2008»
15 years 10 months ago
Diagnosability of hybrid automata with measurement uncertainty
— We propose a diagnosability notion that depends on two parameters denoted as (δd, δm) for the general class of transition systems where the observable output is given by disc...
Maria Domenica Di Benedetto, Stefano Di Gennaro, A...
INFOCOM
2003
IEEE
15 years 9 months ago
Sampling Biases in IP Topology Measurements
— Considerable attention has been focused on the properties of graphs derived from Internet measurements. Router-level topologies collected via traceroute-like methods have led s...
Anukool Lakhina, John W. Byers, Mark Crovella, Pen...
GIS
1995
ACM
15 years 7 months ago
Measuring the Complexity of Polygonal Objects
Polygonal objects are characterized by the following well-known parameters: number of vertices, area, perimeter and so on. These parameters describe the data sets that are used in...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...
USENIX
2008
15 years 6 months ago
Measurement and Analysis of Large-Scale Network File System Workloads
In this paper we present the analysis of two large-scale network file system workloads. We measured CIFS traffic for two enterprise-class file servers deployed in the NetApp data ...
Andrew W. Leung, Shankar Pasupathy, Garth R. Goods...