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NIPS
2003
13 years 8 months ago
Log-Linear Models for Label Ranking
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Ofer Dekel, Christopher D. Manning, Yoram Singer
IIE
2006
84views more  IIE 2006»
13 years 7 months ago
Promoting Different Kinds of Learners towards Active Learning in the Web-Based Environment
According to many recent studies the effect of learning style on academic performance has been found to be significant and mismatch between teaching and learning styles causes lear...
Anu Haapala
JMLR
2008
137views more  JMLR 2008»
13 years 7 months ago
Online Learning of Complex Prediction Problems Using Simultaneous Projections
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
ML
2008
ACM
134views Machine Learning» more  ML 2008»
13 years 7 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
KAIS
2006
121views more  KAIS 2006»
13 years 7 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara