| Learning from a mixture of labeled and unlabeled examples with parametric side information J Ratsaby, SS Venkatesh Proceedings of the eighth annual conference on Computational learning theory …, 1995 | 163 | 1995 |
| On the degree of approximation by manifolds of finite pseudo-dimension V Maiorov, J Ratsaby Constructive approximation 15 (2), 291-300, 1999 | 53 | 1999 |
| Incremental learning with sample queries J Ratsaby IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (8), 883-888, 1998 | 43 | 1998 |
| On the approximation of functional classes equipped with a uniform measure using ridge functions V Maiorov, R Meir, J Ratsaby Journal of approximation theory 99 (1), 95-111, 1999 | 35 | 1999 |
| The degree of approximation of sets in Euclidean space using sets with bounded Vapnik-Chervonenkis dimension V Maiorov, J Ratsaby Discrete applied mathematics 86 (1), 81-93, 1998 | 24 | 1998 |
| On the value of partial information for learning from examples J Ratsaby, V Maiorov Journal of Complexity 13 (4), 509-544, 1997 | 23 | 1997 |
| Robust cutpoints in the logical analysis of numerical data M Anthony, J Ratsaby Discrete Applied Mathematics 160 (4-5), 355-364, 2012 | 21 | 2012 |
| Estimate of the number of restricted integer-partitions J Ratsaby Applicable Analysis and Discrete Mathematics, 222-233, 2008 | 20 | 2008 |
| An algorithmic complexity interpretation of Lin’s third law of information theory J Ratsaby Entropy 10 (1), 6-14, 2008 | 19 | 2008 |
| Maximal width learning of binary functions M Anthony, J Ratsaby Theoretical Computer Science 411 (1), 138-147, 2010 | 16 | 2010 |
| Learning bounds via sample width for classifiers on finite metric spaces M Anthony, J Ratsaby Theoretical Computer Science 529, 2-10, 2014 | 13 | 2014 |
| A probabilistic approach to case-based inference M Anthony, J Ratsaby Theoretical Computer Science 589, 61-75, 2015 | 12 | 2015 |
| Machine learning for image classification and clustering using a universal distance measure U Chester, J Ratsaby Similarity Search and Applications: 6th International Conference, SISAP 2013 …, 2013 | 12 | 2013 |
| Analysis of linear interpolation of fuzzy sets with entropy-based distances L Kovács, J Ratsaby Acta Polytechnica Hungarica 10 (3), 51-64, 2013 | 11 | 2013 |
| Towards robust model selection using estimation and approximation error bounds J Ratsaby, R Meir, V Maiorov Proceedings of the ninth annual conference on computational learning theory …, 1996 | 11 | 1996 |
| A hybrid classifier based on boxes and nearest neighbors M Anthony, J Ratsaby Discrete Applied Mathematics 172, 1-11, 2014 | 9 | 2014 |
| Universal distance measure for images UA Chester, J Ratsaby 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012 | 9 | 2012 |
| Random patterns and complexity in static structures J Ratsaby, J Chaskalovic 2009 International Conference on Artificial Intelligence and Pattern …, 2009 | 9 | 2009 |
| Large-width bounds for learning half-spaces on distance spaces M Anthony, J Ratsaby Discrete Applied Mathematics 243, 73-89, 2018 | 8 | 2018 |
| Multi-category classifiers and sample width M Anthony, J Ratsaby Journal of Computer and System Sciences 82 (8), 1223-1231, 2016 | 8 | 2016 |
