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KSEM
2009
Springer
14 years 2 months ago
An Anytime Algorithm for Computing Inconsistency Measurement
Measuring the inconsistency degree of an inconsistent knowledge base is an important problem as it provides context information for facilitating inconsistency handling. Many method...
Yue Ma, Guilin Qi, Guohui Xiao, Pascal Hitzler, Zu...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 2 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»
14 years 2 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
14 years 1 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
13 years 11 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...