Travelled to:1 × Canada
3 × USA
Collaborated with:G.Ridgeway D.Fradkin T.Richardson J.O'Kane A.A.Dayanik D.D.Lewis V.Menkov A.Genkin C.R.Chapman J.Gavrin O.Villumsen J.Boose
Talks about:classif (2) repertori (1) interpret (1) hypergrid (1) distribut (1) construct (1) knowledg (1) guidelin (1) bayesian (1) project (1)
Person: David Madigan
DBLP: Madigan:David
Facilitated 1 volumes:
EdContributed to:
2006200320021998
1994Wrote 5 papers:
- SIGIR-2006-DayanikLMMG #classification
- Constructing informative prior distributions from domain knowledge in text classification (AAD, DDL, DM, VM, AG), pp. 493–500.
- KDD-2003-FradkinM #machine learning #random
- Experiments with random projections for machine learning (DF, DM), pp. 517–522.
- KDD-2002-RidgewayM #analysis #dataset
- Bayesian analysis of massive datasets via particle filters (GR, DM), pp. 5–13.
- KDD-1998-RidgewayMRO #classification #naive bayes
- Interpretable Boosted Naïve Bayes Classification (GR, DM, TR, JO), pp. 101–104.
- HT-ECHT-1994-MadiganCGVB #guidelines
- Repertory Hypergrids: An Application to Clinical Practice Guidelines (DM, CRC, JG, OV, JB), pp. 117–125.