Travelled to:1 × Canada
1 × Italy
1 × Japan
1 × Spain
3 × USA
Collaborated with:I.Guyon N.Matic ∅ C.Cortes H.Drucker B.Schölkopf C.Burges A.Ben-Hur H.T.Siegelmann D.Horn D.Hoover J.S.Denker J.Weston R.Collobert F.H.Sinz L.Bottou L.D.Jackel Y.LeCun
Talks about:data (3) support (2) pattern (2) inform (2) discov (2) clean (2) handwritten (1) universum (1) algorithm (1) recognit (1)
Person: Vladimir Vapnik
DBLP: Vapnik:Vladimir
Contributed to:
2006
2000
19961996199519941994
1993Wrote 9 papers:
- ICML-2006-WestonCSBV
- Inference with the Universum (JW, RC, FHS, LB, VV), pp. 1009–1016.
- ICPR-v2-2000-Ben-HurSHV #clustering
- A Support Vector Clustering Method (ABH, HTS, DH, VV), pp. 2724–2727.
- AKDDM-1996-GuyonMV
- Discovering Informative Patterns and Data Cleaning (IG, NM, VV), pp. 181–203.
- ICML-1996-Vapnik #statistics
- Statistical Theory of Generalization (VV), p. 557.
- KDD-1995-CortesDHV #capacity #complexity #predict
- Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates (CC, HD, DH, VV), pp. 51–56.
- KDD-1995-ScholkopfBV
- Extracting Support Data for a Given Task (BS, CB, VV), pp. 252–257.
- ICML-1994-DruckerCJCV #algorithm #machine learning
- Boosting and Other Machine Learning Algorithms (HD, CC, LDJ, YL, VV), pp. 53–61.
- KDD-1994-GuyonMV
- Discovering Informative Patterns and Data Cleaning (IG, NM, VV), pp. 145–156.
- ICDAR-1993-MaticGDV #adaptation #online #recognition
- Writer-adaptation for on-line handwritten character recognition (NM, IG, JSD, VV), pp. 187–191.