Travelled to:1 × Australia
1 × Canada
1 × France
1 × United Kingdom
2 × USA
Collaborated with:C.A.Knoblock I.Muslea S.R.Wolfe O.Etzioni ∅ S.Tejada K.Lerman L.Getoor M.Drummond J.L.Bresina A.B.Philips J.L.Ambite N.Ashish G.Barish P.J.Modi A.Philpot
Talks about:learn (4) view (3) automat (2) system (2) order (2) use (2) transform (1) construct (1) supervis (1) structur (1)
Person: Steven Minton
DBLP: Minton:Steven
Contributed to:
2004
2002
20021998
1994
199219921990Wrote 9 papers:
- SIGMOD-2004-LermanGMK #automation #segmentation #using #web
- Using the Structure of Web Sites for Automatic Segmentation of Tables (KL, LG, SM, CAK), pp. 119–130.
- ICML-2002-MusleaMK #learning #multi #robust
- Active + Semi-supervised Learning = Robust Multi-View Learning (IM, SM, CAK), pp. 435–442.
- ICML-2002-MusleaMK02a #adaptation #automation #detection #towards #validation
- Adaptive View Validation: A First Step Towards Automatic View Detection (IM, SM, CAK), pp. 443–450.
- KDD-2002-TejadaKM #identification #independence #learning #string
- Learning domain-independent string transformation weights for high accuracy object identification (ST, CAK, SM), pp. 350–359.
- SIGMOD-1998-AmbiteABKMMMPT #internet #named
- ARIADNE: A System for Constructing Mediators for Internet Sources (JLA, NA, GB, CAK, SM, PJM, IM, AP, ST), pp. 561–563.
- KBSE-1994-MintonW #machine learning #source code #using
- Using Machine Learning to Synthesize Search Programs (SM, SRW), pp. 31–38.
- KR-1992-MintonDBP #partial order #performance
- Total Order vs. Partial Order Planning: Factors Influencing Performance (SM, MD, JLB, ABP), pp. 83–92.
- ML-1992-EtzioniM #why
- Why EBL Produces Overly-Specific Knowledge: A Critique of the PRODIGY Approaches (OE, SM), pp. 137–143.
- ML-1990-Minton #composition #design
- Issues in the Design of Operator Composition Systems (SM), pp. 304–312.