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» An ASM-Characterization of a Class of Distributed Algorithms
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ASE
2007
143views more  ASE 2007»
14 years 9 months ago
Composition inference for UML class diagrams
Knowing which associations are compositions is important in a tool for the reverse engineering of UML class diagrams. Firstly, recovery of composition relationships bridges the ga...
Ana Milanova
87
Voted
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
14 years 11 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
AI
2009
Springer
15 years 4 months ago
Cost-Based Sampling of Individual Instances
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
ICPR
2010
IEEE
14 years 9 months ago
The Balanced Accuracy and Its Posterior Distribution
—Evaluating the performance of a classification algorithm critically requires a measure of the degree to which unseen examples have been identified with their correct class lab...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...
SODA
2008
ACM
126views Algorithms» more  SODA 2008»
14 years 11 months ago
On distributing symmetric streaming computations
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...