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ECML
2007
Springer
15 years 6 months ago
Class Noise Mitigation Through Instance Weighting
We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
Umaa Rebbapragada, Carla E. Brodley
ER
2004
Springer
79views Database» more  ER 2004»
15 years 5 months ago
Multi-phase Process Mining: Building Instance Graphs
Abstract. Deploying process-driven information systems is a time-consuming and error-prone task. Process mining attempts to improve this by automatically generating a process model...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
HAIS
2010
Springer
14 years 9 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
IPPS
1998
IEEE
15 years 4 months ago
Locality Optimization for Program Instances
Abstract. The degree of locality of a program re ects the level of temporal and spatial concentration of related data and computations. Locality optimization can speed up programs ...
Claudia Leopold
AAIM
2010
Springer
165views Algorithms» more  AAIM 2010»
15 years 3 months ago
Finding Good Tours for Huge Euclidean TSP Instances by Iterative Backbone Contraction
Abstract. This paper presents an iterative, highly parallelizable approach to find good tours for very large instances of the Euclidian version of the well-known Traveling Salesma...
Christian Ernst, Changxing Dong, Gerold Jäger...