Travelled to:1 × Canada
1 × United Kingdom
2 × Germany
4 × USA
Collaborated with:P.Tadepalli R.Givan T.Bauer M.Erwig J.Pinto Y.Xu T.G.Dietterich J.R.Doppa C.Parker A.Wilson S.Ray J.Azimi X.Z.Fern G.Borradaile B.Heeringa S.Natarajan E.Altendorf A.C.Restificar Ethan W. Dereszynski Jesse Hostetler Thao-Trang Hoang Mark Udarbe T.E.Senator H.G.Goldberg A.Memory W.T.Young B.Rees R.Pierce D.Huang M.Reardon D.A.Bader E.Chow I.A.Essa J.Jones V.Bettadapura D.H.Chau O.Green O.Kaya A.Zakrzewska E.Briscoe R.L.M.IV R.McColl L.Weiss W.Wong S.Das A.Emmott J.Irvine J.Y.Lee D.Koutra C.Faloutsos D.D.Corkill L.Friedland A.Gentzel D.Jensen
Talks about:learn (7) probabilist (2) structur (2) program (2) search (2) model (2) infer (2) adapt (2) activ (2) real (2)
Person: Alan Fern
DBLP: Fern:Alan
Contributed to:
2013
2012
2012
20112007200520042000
2011Wrote 12 papers:
- KDD-2013-SenatorGMYRPHRBCEJBCGKZBMMWDFWDEILKFCFGJ #database #detection #process
- Detecting insider threats in a real corporate database of computer usage activity (TES, HGG, AM, WTY, BR, RP, DH, MR, DAB, EC, IAE, JJ, VB, DHC, OG, OK, AZ, EB, RLMI, RM, LW, TGD, AF, WKW, SD, AE, JI, JYL, DK, CF, DDC, LF, AG, DJ), pp. 1393–1401.
- GPCE-2012-BauerEFP #adaptation #performance
- Faster program adaptation through reward attribution inference (TB, ME, AF, JP), pp. 103–111.
- ICML-2012-AzimiFFBH #coordination #learning
- Batch Active Learning via Coordinated Matching (JA, AF, XZF, GB, BH), p. 44.
- ICML-2012-DoppaFT #predict
- Output Space Search for Structured Prediction (JRD, AF, PT), p. 107.
- PEPM-2011-BauerEFP #adaptation #java #programming
- Adaptation-based programming in java (TB, ME, AF, JP), pp. 81–90.
- ICML-2007-ParkerFT #learning #performance #query #retrieval
- Learning for efficient retrieval of structured data with noisy queries (CP, AF, PT), pp. 729–736.
- ICML-2007-WilsonFRT #approach #learning #multi
- Multi-task reinforcement learning: a hierarchical Bayesian approach (AW, AF, SR, PT), pp. 1015–1022.
- ICML-2007-XuF #learning #linear #on the #ranking
- On learning linear ranking functions for beam search (YX, AF), pp. 1047–1054.
- ICML-2005-NatarajanTADFR #first-order #learning #modelling #probability
- Learning first-order probabilistic models with combining rules (SN, PT, EA, TGD, AF, ACR), pp. 609–616.
- ICML-2004-FernG #relational #reliability
- Relational sequential inference with reliable observations (AF, RG).
- ICML-2000-FernG #empirical #learning #online
- Online Ensemble Learning: An Empirical Study (AF, RG), pp. 279–286.
- AIIDE-2011-DereszynskiHFDHU #behaviour #game studies #learning #modelling #probability #realtime
- Learning Probabilistic Behavior Models in Real-Time Strategy Games (EWD, JH, AF, TGD, TTH, MU).