Travelled to:1 × Australia
1 × China
5 × USA
Collaborated with:∅ D.Mazzoni K.Wagstaff R.Hamid Y.Xiao A.Gittens S.Park D.Pennock O.Madani N.Good
Talks about:machin (4) support (3) vector (3) classif (2) kernel (2) fast (2) recommend (1) multivari (1) increment (1) filterbot (1)
Person: Dennis DeCoste
DBLP: DeCoste:Dennis
Contributed to:
20142006
20062003200220001997Wrote 7 papers:
- ICML-c2-2014-HamidXGD #random
- Compact Random Feature Maps (RH, YX, AG, DD), pp. 19–27.
- ICML-2006-DeCoste #collaboration #matrix #predict #using
- Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations (DD), pp. 249–256.
- KDD-2006-ParkPMGD #recommendation #robust
- Naïve filterbots for robust cold-start recommendations (STP, DP, OM, NG, DD), pp. 699–705.
- ICML-2003-DeCosteM #approximate #classification #incremental #kernel #performance
- Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors (DD, DM), pp. 115–122.
- ICML-2002-DeCoste #classification #distance #geometry #kernel #performance
- Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry (DD), pp. 99–106.
- KDD-2000-DeCosteW
- Alpha seeding for support vector machines (DD, KW), pp. 345–349.
- KDD-1997-DeCoste #behaviour #mining #multi
- Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes (DD), pp. 151–154.