Travelled to:1 × China
1 × France
1 × Spain
5 × USA
Collaborated with:P.Smyth Y.Chen B.Dom J.F.Canny J.Mao D.Chudova H.Mannila A.Popescul D.M.Pennock L.H.Ungar P.Berkhin A.Seetharaman A.Meltzer R.Balasubramanyan S.Kapur J.Parikh
Talks about:use (3) support (2) entropi (2) vector (2) mixtur (2) machin (2) scale (2) model (2) data (2) probabilist (1)
Person: Dmitry Pavlov
DBLP: Pavlov:Dmitry
Contributed to:
2009
20092004
20032001
200020001999Wrote 8 papers:
- CIKM-2009-ChenPBSM #data mining #exclamation #lessons learnt #mining
- Practical lessons of data mining at Yahoo! (YC, DP, PB, AS, AM), pp. 1047–1056.
- KDD-2009-ChenPC #behaviour #scalability
- Large-scale behavioral targeting (YC, DP, JFC), pp. 209–218.
- KDD-2004-PavlovBDKP #classification #clustering #documentation #multi #naive bayes #preprocessor
- Document preprocessing for naive Bayes classification and clustering with mixture of multinomials (DP, RB, BD, SK, JP), pp. 829–834.
- ICML-2003-PavlovPPU #modelling
- Mixtures of Conditional Maximum Entropy Models (DP, AP, DMP, LHU), pp. 584–591.
- KDD-2001-PavlovS #modelling #probability #query #transaction
- Probabilistic query models for transaction data (DP, PS), pp. 164–173.
- ICPR-v2-2000-PavlovMD #algorithm #using
- Scaling-Up Support Vector Machines Using Boosting Algorithm (DP, JM, BD), pp. 2219–2222.
- KDD-2000-PavlovCS #scalability #towards #using
- Towards scalable support vector machines using squashing (DP, DC, PS), pp. 295–299.
- KDD-1999-MannilaPS #predict #using
- Prediction with Local Patterns using Cross-Entropy (HM, DP, PS), pp. 357–361.