Travelled to:1 × Australia
1 × China
1 × France
3 × USA
Collaborated with:Y.Chen K.Q.Weinberger Y.Mao Z.Cui Y.He B.Guo J.T.Wilson S.Tyree C.Lu M.Kollef T.C.Bailey
Talks about:nonlinear (1) discrimin (1) deterior (1) compress (1) approach (1) varianc (1) regress (1) network (1) monitor (1) maximum (1)
Person: Wenlin Chen
DBLP: Chen:Wenlin
Contributed to:
2015
20152014201320132012Wrote 6 papers:
- ICML-2015-ChenWTWC #network
- Compressing Neural Networks with the Hashing Trick (WC, JTW, ST, KQW, YC), pp. 2285–2294.
- KDD-2015-CuiCHC #random
- Optimal Action Extraction for Random Forests and Boosted Trees (ZC, WC, YH, YC), pp. 179–188.
- KDD-2014-ChenCW #classification #performance #scalability
- Fast flux discriminant for large-scale sparse nonlinear classification (WC, YC, KQW), pp. 621–630.
- ICML-c1-2013-ChenWC
- Maximum Variance Correction with Application to A* Search (WC, KQW, YC), pp. 302–310.
- KDD-2013-ChenCMG
- Density-based logistic regression (WC, YC, YM, BG), pp. 140–148.
- KDD-2012-MaoCCLKB #approach #data mining #mining #monitoring #realtime
- An integrated data mining approach to real-time clinical monitoring and deterioration warning (YM, WC, YC, CL, MK, TCB), pp. 1140–1148.