Travelled to:1 × France
1 × Italy
5 × USA
Collaborated with:D.Koller R.Kohavi ∅ E.Spertus O.Buyukkokten M.A.Hearst E.Saund J.Dougherty S.Yusufali M.Q.W.Baldonado P.G.Ipeirotis L.Gravano S.T.Dumais J.C.Platt D.Hecherman C.Piech J.Huang A.Nguyen M.Phulsuksombati L.J.Guibas
Talks about:categor (3) featur (3) learn (3) classifi (2) network (2) discret (2) continu (2) text (2) base (2) unsupervis (1)
Person: Mehran Sahami
DBLP: Sahami:Mehran
Contributed to:
2015
2005
19981997199619961995
1998
2001Wrote 11 papers:
- ICML-2015-PiechHNPSG #feedback #learning #student
- Learning Program Embeddings to Propagate Feedback on Student Code (CP, JH, AN, MP, MS, LJG), pp. 1093–1102.
- KDD-2005-SpertusSB #metric #network #scalability #similarity #social
- Evaluating similarity measures: a large-scale study in the orkut social network (ES, MS, OB), pp. 678–684.
- CIKM-1998-DumaisPHS #algorithm #categorisation #induction #learning
- Inductive Learning Algorithms and Representations for Text Categorization (STD, JCP, DH, MS), pp. 148–155.
- ICML-1997-KollerS #documentation #using #word
- Hierarchically Classifying Documents Using Very Few Words (DK, MS), pp. 170–178.
- ICML-1996-KollerS #feature model #towards
- Toward Optimal Feature Selection (DK, MS), pp. 284–292.
- ICML-1996-SahamiHS #categorisation #model-to-text #multi
- Applying the Multiple Cause Mixture Model to Text Categorization (MS, MAH, ES), pp. 435–443.
- KDD-1996-KohaviS
- Error-Based and Entropy-Based Discretization of Continuous Features (RK, MS), pp. 114–119.
- KDD-1996-Sahami #classification #dependence #learning
- Learning Limited Dependence Bayesian Classifiers (MS), pp. 335–338.
- ICML-1995-DoughertyKS
- Supervised and Unsupervised Discretization of Continuous Features (JD, RK, MS), pp. 194–202.
- DL-1998-SahamiYB #named
- SONIA: A Service for Organizing Networked Information Autonomously (MS, SY, MQWB), pp. 200–209.
- JCDL-2001-IpeirotisGS #categorisation
- PERSIVAL demo: categorizing hidden-web resources (PGI, LG, MS), p. 454.