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» Learning to rank on graphs
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COLT
1993
Springer
15 years 10 months ago
Piecemeal Learning of an Unknown Environment
We introducea new learningproblem: learninga graph by piecemeal search, in which the learner must return every so often to its starting point (for refueling, say). We present two l...
Margrit Betke, Ronald L. Rivest, Mona Singh
ICTAI
2007
IEEE
16 years 14 days ago
Constructing VEGGIE: Machine Learning for Context-Sensitive Graph Grammars
Context-sensitive graph grammar construction tools have been used to develop and study interesting languages. However, the high dimensionality of graph grammars result in costly e...
Keven Ates, Kang Zhang
SIGIR
2002
ACM
15 years 5 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
COLT
2007
Springer
15 years 10 months ago
Robust Reductions from Ranking to Classification
Abstract. We reduce ranking, as measured by the Area Under the Receiver Operating Characteristic Curve (AUC), to binary classification. The core theorem shows that a binary classif...
Maria-Florina Balcan, Nikhil Bansal, Alina Beygelz...
ICALT
2010
IEEE
15 years 4 months ago
Course Ranking and Automated Suggestions through Web Mining
—This paper introduces new metrics for course evaluation. It is also proposes a ranking algorithm that classifies courses based on the previous course evaluation metrics and sugg...
Stavros Valsamidis, Ioannis Kazanidis, Sotirios Ko...