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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 9 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
142
Voted
DMIN
2010
262views Data Mining» more  DMIN 2010»
15 years 1 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...
101
Voted
INCDM
2009
Springer
96views Data Mining» more  INCDM 2009»
15 years 10 months ago
Ordinal Evaluation: A New Perspective on Country Images
We present a novel use of ordinal evaluation (OrdEval) algorithm as a promising technique to study various marketing phenomena. OrdEval algorithm has originated in data mining and ...
Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof
GFKL
2005
Springer
97views Data Mining» more  GFKL 2005»
15 years 9 months ago
Parameter Optimization in Automatic Transcription of Music
Based on former work on automatic transcription of musical time series into sheet music (Ligges et al. (2002), Weihs and Ligges (2003, 2005)) in this paper parameters of the transc...
Claus Weihs, Uwe Ligges
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
15 years 1 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh