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» Fuzzy sets in machine learning and data mining
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TFS
2011
194views Education» more  TFS 2011»
13 years 3 months ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
DBA
2006
143views Database» more  DBA 2006»
13 years 10 months ago
Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes
This paper presents an approach to produce generalization candidates for a concept hierarchy without the necessity of being an expert in the domain to be generalized and ...
Jacob Dolan, Rafal A. Angryk
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
14 years 20 days ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
ICML
2008
IEEE
14 years 9 months ago
SVM optimization: inverse dependence on training set size
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...
Shai Shalev-Shwartz, Nathan Srebro