Travelled to:1 × Canada
1 × China
1 × France
7 × USA
Collaborated with:P.Melville J.He D.Zhang S.Rosset Y.Liu L.Si V.Sindhwani W.Gryc S.J.Hong J.Cherrier C.Perlich B.Zadrozny A.Agarwal H.Raghavan K.Subbian D.Gondek J.Fan V.Chenthamarakshan J.Powell M.Mugisha S.Sapra R.Anandan S.Assefa
Talks about:learn (4) model (3) transfer (2) multipl (2) instanc (2) custom (2) multi (2) activ (2) text (2) base (2)
Person: Richard D. Lawrence
DBLP: Lawrence:Richard_D=
Contributed to:
2013
2013
20122011200920092009200820072003Wrote 11 papers:
- ICML-c3-2013-ZhangHSL #learning #multi #named
- MILEAGE: Multiple Instance LEArning with Global Embedding (DZ, JH, LS, RDL), pp. 82–90.
- KDD-2013-MelvilleCLPMSAA
- Amplifying the voice of youth in Africa via text analytics (PM, VC, RDL, JP, MM, SS, RA, SA), pp. 1204–1212.
- KDD-2013-ZhangHL #learning #multi #named
- MI2LS: multi-instance learning from multiple informationsources (DZ, JH, RDL), pp. 149–157.
- CIKM-2012-AgarwalRSMLGF #learning #rank #robust
- Learning to rank for robust question answering (AA, HR, KS, PM, RDL, DG, JF), pp. 833–842.
- KDD-2011-ZhangHLSL #approach #learning #multi #scalability
- Multi-view transfer learning with a large margin approach (DZ, JH, YL, LS, RDL), pp. 1208–1216.
- CIKM-2009-HeLL #graph #learning
- Graph-based transfer learning (JH, YL, RDL), pp. 937–946.
- ICML-2009-SindhwaniML #design #nondeterminism
- Uncertainty sampling and transductive experimental design for active dual supervision (VS, PM, RDL), pp. 953–960.
- KDD-2009-MelvilleGL #analysis #classification #sentiment
- Sentiment analysis of blogs by combining lexical knowledge with text classification (PM, WG, RDL), pp. 1275–1284.
- KDD-2008-MelvilleRL #modelling #using #web
- Customer targeting models using actively-selected web content (PM, SR, RDL), pp. 946–953.
- KDD-2007-PerlichRLZ #estimation #modelling
- High-quantile modeling for customer wallet estimation and other applications (CP, SR, RDL, BZ), pp. 977–985.
- KDD-2003-LawrenceHC #modelling #predict
- Passenger-based predictive modeling of airline no-show rates (RDL, SJH, JC), pp. 397–406.