Travelled to:1 × United Kingdom
6 × USA
Collaborated with:F.J.Provost P.E.Utgoff ∅ R.Kohavi
Talks about:generat (2) featur (2) learn (2) comparison (1) distribut (1) algorithm (1) plausibl (1) interest (1) imprecis (1) classifi (1)
Person: Tom Fawcett
DBLP: Fawcett:Tom
Facilitated 1 volumes:
EdContributed to:
1999199819971996199219911989Wrote 7 papers:
- KDD-1999-FawcettP #behaviour #monitoring #process
- Activity Monitoring: Noticing Interesting Changes in Behavior (TF, FJP), pp. 53–62.
- ICML-1998-ProvostFK #algorithm #estimation #induction
- The Case against Accuracy Estimation for Comparing Induction Algorithms (FJP, TF, RK), pp. 445–453.
- KDD-1997-ProvostF #analysis #classification #comparison #performance #visualisation
- Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions (FJP, TF), pp. 43–48.
- KDD-1996-FawcettP #data mining #effectiveness #machine learning #mining #profiling
- Combining Data Mining and Machine Learning for Effective User Profiling (TF, FJP), pp. 8–13.
- ML-1992-FawcettU #automation #generative #problem
- Automatic Feature Generation for Problem Solving Systems (TF, PEU), pp. 144–153.
- ML-1991-FawcettU #generative #hybrid
- A Hybrid Method for Feature Generation (TF, PEU), pp. 137–141.
- ML-1989-Fawcett #learning
- Learning from Plausible Explanations (TF), pp. 37–39.