Travelled to:1 × USA
Collaborated with:W.E.Bond S.Stearns M.Thakore J.J.Aleshunas B.Flachsbart J.Holland R.Gallion C.L.Sabharwal P.O'Rorke S.Morris M.Amirfathi W.Bond
Talks about:learn (3) id (3) algorithm (2) classif (2) symbol (2) machin (2) data (2) characterist (1) nondestruct (1) construct (1)
Person: Daniel C. St. Clair
DBLP: Clair:Daniel_C=_St=
Contributed to:
199519941993
1991Wrote 6 papers:
- SAC-1995-StearnsC #concept #machine learning #rule-based
- Rule-based machine learning of spatial data concepts (SS, DCSC), pp. 242–247.
- SAC-1994-AleshunasCB #classification
- Classification characteristics of SOM and ART2 (JJA, DCSC, WEB), pp. 297–302.
- SAC-1994-FlachsbartBCH #algorithm #classification #using
- Using the ID3 symbolic classification algorithm to reduce data density (BF, WEB, DCSC, JH), pp. 292–296.
- SAC-1993-GallionSCB #algorithm #learning
- Dynamic ID3: A Symbolic Learning Algorithm for Many-Valued Attribute Domains (RG, CLS, DCSC, WEB), pp. 14–20.
- SAC-1993-ThakoreC
- Effect of the χ² Test on Construction of ID3 Decision Trees (MT, DCSC), pp. 1–8.
- ML-1991-ORorkeMABC #evaluation #machine learning
- Machine Learning for Nondestructive Evaluation (PO, SM, MA, WB, DCSC), pp. 620–624.