Sciweavers

389 search results - page 28 / 78
» New approaches to support vector ordinal regression
Sort
View
ICPR
2008
IEEE
15 years 6 months ago
Finding the splitting vector for image resolution up-conversion
This paper proposes a new single-frame image upconversion approach that uses prior information. The proposed method overcomes the drawbacks of the Kondo 2001 where the class membe...
Xinyu Xu, Hao Pan
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 5 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
15 years 6 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
SIGSOFT
2003
ACM
16 years 14 days ago
Leveraging field data for impact analysis and regression testing
Software products are often released with missing functionality, errors, or incompatibilities that may result in failures, inferior performances, or user dissatisfaction. In previ...
Alessandro Orso, Taweesup Apiwattanapong, Mary Jea...
ECSQARU
2009
Springer
15 years 3 months ago
Different Representations of Fuzzy Vectors
Fuzzy vectors were introduced as a description of imprecise quantities whose uncertainty originates from vagueness, not from a probabilistic model. Support functions are a classica...
Jiuzhen Liang, Mirko Navara, Thomas Vetterlein