`Travelled to:`

1 × France

2 × Canada

2 × USA

`Collaborated with:`

∅ R.Natarajan F.Tipu N.Abe B.Zadrozny A.Ghoting P.Kambadur R.Kannan A.Dorneich C.Apté E.Bibelnieks D.Campbell B.Nelson

`Talks about:`

parallel (2) model (2) learn (2) implement (1) algorithm (1) sequenti (1) reinforc (1) mapreduc (1) calculus (1) toolkit (1)

## Person: Edwin P. D. Pednault

### DBLP: Pednault:Edwin_P=_D=

### Contributed to:

### Wrote 6 papers:

- KDD-2011-GhotingKPK #algorithm #data mining #implementation #machine learning #mining #named #parallel #pipes and filters #tool support
- NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce (AG, PK, EPDP, RK), pp. 334–342.
- SAC-2006-DorneichNPT #database #embedded #modelling #parallel #predict #relational
- Embedded predictive modeling in a parallel relational database (AD, RN, EPDP, FT), pp. 569–574.
- KDD-2002-PednaultAZ #learning
- Sequential cost-sensitive decision making with reinforcement learning (EPDP, NA, BZ), pp. 259–268.
- KDD-2001-ApteBNPTCN #modelling
- Segmentation-based modeling for advanced targeted marketing (CA, EB, RN, EPDP, FT, DC, BN), pp. 408–413.
- KDD-1991-Pednault #encoding #induction
- Minimal-Length Encoding and Inductive Inference (EPDP), pp. 71–92.
- KR-1989-Pednault #calculus #named
- ADL: Exploring the Middle Ground Between STRIPS and the Situation Calculus (EPDP), pp. 324–332.