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ICML
2005
IEEE
16 years 5 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
ICML
2000
IEEE
16 years 5 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
145
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SIGSOFT
2008
ACM
16 years 5 months ago
What makes a good bug report?
In software development, bug reports provide crucial information to developers. However, these reports widely differ in their quality. We conducted a survey among developers and u...
Nicolas Bettenburg, Sascha Just, Adrian Schrö...
RECOMB
2009
Springer
16 years 5 months ago
Simultaneous Alignment and Folding of Protein Sequences
Abstract. Accurate comparative analysis tools for low-homology proteins remains a difficult challenge in computational biology, especially sequence alignment and consensus folding ...
Bonnie Berger, Charles W. O'Donnell, Jér&oc...
RECOMB
2009
Springer
16 years 5 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...