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» On learning algorithm selection for classification
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119
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CLEF
2010
Springer
15 years 1 months ago
Wiki Vandalysis - Wikipedia Vandalism Analysis - Lab Report for PAN at CLEF 2010
Wikipedia describes itself as the "free encyclopedia that anyone can edit". Along with the helpful volunteers who contribute by improving the articles, a great number of ...
Manoj Harpalani, Thanadit Phumprao, Megha Bassi, M...
101
Voted
ICML
2010
IEEE
15 years 1 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
81
Voted
ICML
2010
IEEE
15 years 1 months ago
Clustering processes
The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of co...
Daniil Ryabko
ML
2002
ACM
141views Machine Learning» more  ML 2002»
15 years 9 days ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
114
Voted
CIKM
2010
Springer
14 years 10 months ago
Discovery of numerous specific topics via term co-occurrence analysis
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
Omid Madani, Jiye Yu