Travelled to:1 × Australia
1 × Canada
1 × Germany
4 × USA
Collaborated with:J.W.Shavlik J.Bockhorst S.Ray D.Andrzejewski X.Zhu G.G.Towell D.Page J.D.Glasner
Talks about:network (3) neural (3) learn (3) use (3) knowledg (2) multipl (2) train (2) rule (2) comparison (1) dirichlet (1)
Person: Mark Craven
DBLP: Craven:Mark
Facilitated 1 volumes:
EdContributed to:
2009200520022000199419931991Wrote 7 papers:
- ICML-2009-AndrzejewskiZC #modelling #topic
- Incorporating domain knowledge into topic modeling via Dirichlet Forest priors (DA, XZ, MC), pp. 25–32.
- ICML-2005-RayC #comparison #empirical #learning #multi
- Supervised versus multiple instance learning: an empirical comparison (SR, MC), pp. 697–704.
- ICML-2002-BockhorstC #concept
- Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data (JB, MC), pp. 43–50.
- ICML-2000-CravenPSBG #coordination #learning #multi #using
- Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes (MC, DP, JWS, JB, JDG), pp. 199–206.
- ICML-1994-CravenS #network #query #using
- Using Sampling and Queries to Extract Rules from Trained Neural Networks (MC, JWS), pp. 37–45.
- ICML-1993-CravenS #learning #network #using
- Learning Symbolic Rules Using Artificial Neural Networks (MC, JWS), pp. 73–80.
- ML-1991-TowellCS #induction #knowledge-based #network
- Constructive Induction in Knowledge-Based Neural Networks (GGT, MC, JWS), pp. 213–217.