Travelled to:1 × Germany
2 × United Kingdom
4 × USA
Collaborated with:∅ L.McDowell Matthew Molineaux Philip Moore 0002 O.Ilghami H.Muñoz-Avila D.S.Nau S.Lapointe C.X.Ling S.Matwin J.Rachlin S.Kasif S.Salzberg Kennard R. Laviers G.Sukthankar N.Li D.J.Stracuzzi Gary Cleveland T.Könik D.G.Shapiro K.Ali
Talks about:learn (3) label (3) base (3) increment (2) construct (2) instanc (2) collect (2) classif (2) system (2) studi (2)
Person: David W. Aha
DBLP: Aha:David_W=
Contributed to:
2013
201220051994199219911989
20062009Wrote 11 papers:
- CIKM-2013-McDowellA #classification #network
- Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks (LM, DWA), pp. 847–852.
- ICML-2012-McDowellA #classification #hybrid
- Semi-Supervised Collective Classification via Hybrid Label Regularization (LM, DWA), p. 162.
- ICML-2005-IlghamiMNA #approximate #learning
- Learning approximate preconditions for methods in hierarchical plans (OI, HMA, DSN, DWA), pp. 337–344.
- ICML-1994-AhaLLM #learning #recursion #set
- Learning Recursive Relations with Randomly Selected Small Training Sets (DWA, SL, CXL, SM), pp. 12–18.
- ICML-1994-RachlinKSA #comprehension #reasoning #towards
- Towards a Better Understanding of Memory-based Reasoning Systems (JR, SK, SS, DWA), pp. 242–250.
- ML-1992-Aha #case study
- Generalizing from Case studies: A Case Study (DWA), pp. 1–10.
- ML-1991-Aha #approach #incremental #induction
- Incremental Constructive Induction: An Instance-Based Approach (DWA), pp. 117–121.
- ML-1989-Aha #concept #incremental #independence #learning
- Incremental, Instance-Based Learning of Independent and Graded Concept Descriptions (DWA), pp. 387–391.
- AIIDE-2006-AhaMM #game studies #research
- A Testbed for Evaluating AI Research Systems in Commercial Games (DWA, MM, PM0), pp. 137–138.
- AIIDE-2009-LaviersSAM #modelling #performance
- Improving Offensive Performance Through Opponent Modeling (KRL, GS, DWA, MM).
- AIIDE-2009-LiSCKSMAA #behaviour #game studies #video
- Constructing Game Agents from Video of Human Behavior (NL, DJS, GC, TK, DGS, MM, DWA, KA).