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» On learning algorithm selection for classification
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FLAIRS
2010
15 years 8 months ago
Meta-Prediction for Collective Classification
When data instances are inter-related, as are nodes in a social network or hyperlink graph, algorithms for collective classification (CC) can significantly improve accuracy. Recen...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
ML
2000
ACM
105views Machine Learning» more  ML 2000»
15 years 6 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen
ICCV
2009
IEEE
15 years 4 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
CIBB
2008
15 years 8 months ago
Stability and Performances in Biclustering Algorithms
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
AAAI
2006
15 years 8 months ago
Comparative Experiments on Sentiment Classification for Online Product Reviews
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
Hang Cui, Vibhu O. Mittal, Mayur Datar