Travelled to:1 × United Kingdom
6 × USA
Collaborated with:C.Cardie ∅ D.DeCoste M.desJardins E.Eaton S.Rogers S.Schrödl A.Kalton P.Langley J.P.Yoo R.Castaño S.A.Chien T.M.Stough B.Tang
Talks about:cluster (3) learn (3) machin (2) data (2) spacecraft (1) constraint (1) background (1) constrain (1) uncalibr (1) supervis (1)
Person: Kiri Wagstaff
DBLP: Wagstaff:Kiri
Contributed to:
2012
200720062001200120002000Wrote 7 papers:
- ICML-2012-Wagstaff #machine learning #matter
- Machine Learning that Matters (KW), p. 240.
- KDD-2007-CastanoWCST #analysis
- On-board analysis of uncalibrated data for a spacecraft at mars (RC, KW, SAC, TMS, BT), pp. 922–930.
- ICML-2006-desJardinsEW #learning #set
- Learning user preferences for sets of objects (Md, EE, KW), pp. 273–280.
- ICML-2001-WagstaffCRS #clustering
- Constrained K-means Clustering with Background Knowledge (KW, CC, SR, SS), pp. 577–584.
- KDD-2001-KaltonLWY #clustering #learning
- Generalized clustering, supervised learning, and data assignment (AK, PL, KW, JPY), pp. 299–304.
- ICML-2000-WagstaffC #clustering #constraints
- Clustering with Instance-level Constraints (KW, CC), pp. 1103–1110.
- KDD-2000-DeCosteW
- Alpha seeding for support vector machines (DD, KW), pp. 345–349.