Amir Navot

According to our database, Amir Navot authored at least 10 papers between 2002 and 2006.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2006

On the role of feature selection in machine learning (על בחירת תכוניות בלמידה חישובית.).

Amir Navot

PhD thesis, 2006

Large Margin Principles for Feature Selection.

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby

Proceedings of the Feature Extraction - Foundations and Applications, 2006

Margin Based Feature Selection and Infogain with Standard Classifiers.

Ran Gilad-Bachrach, Amir Navot

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Is Feature Selection Still Necessary?

Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby

Proceedings of the Subspace, 2005

Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity.

Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Query by Committee Made Real.

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Margin based feature selection - theory and algorithms.

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby

Proceedings of the Machine Learning, 2004

Bayes and Tukey Meet at the Center Point.

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003

An Information Theoretic Tradeoff between Complexity and Accuracy.

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Margin Analysis of the LVQ Algorithm.

Koby Crammer, Ran Gilad-Bachrach, Amir Navot, Naftali Tishby

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002