Sciweavers

160
Voted
ICML
2007
IEEE
16 years 25 days ago
Discriminant analysis in correlation similarity measure space
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawad...
ICALT
2007
IEEE
15 years 6 months ago
Teaching Science subjects to Blind Students
Access to the disciplines of science, Technology, Engineering and Mathematics (STEM) for blind and vision impaired people continues to be a problem. The inherently visual nature o...
Donal Fitzpatrick
ICML
2007
IEEE
16 years 25 days ago
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
ECML
2007
Springer
15 years 6 months ago
Avoiding Boosting Overfitting by Removing Confusing Samples
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
Alexander Vezhnevets, Olga Barinova
ICML
2007
IEEE
16 years 25 days ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
Machine Learning
Top of PageReset Settings