Travelled to:1 × Canada
1 × Japan
1 × United Kingdom
3 × USA
Collaborated with:P.D.Scott E.Gabrilovich S.Esmeir A.Glazer M.Lindenbaum D.Davidov
Talks about:featur (3) learn (3) base (3) categor (2) select (2) text (2) uncertainti (1) parameter (1) lookahead (1) implement (1)
Person: Shaul Markovitch
DBLP: Markovitch:Shaul
Contributed to:
2012
2004
20041989
19891988Wrote 8 papers:
- ICPR-2012-GlazerLM #detection
- Feature shift detection (AG, ML, SM), pp. 1383–1386.
- ICML-2004-EsmeirM #algorithm #induction
- Lookahead-based algorithms for anytime induction of decision trees (SE, SM).
- ICML-2004-GabrilovichM #categorisation #feature model #using
- Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5 (EG, SM).
- SIGIR-2004-DavidovGM #categorisation #dataset #generative
- Parameterized generation of labeled datasets for text categorization based on a hierarchical directory (DD, EG, SM), pp. 250–257.
- ML-1989-MarkovitchS #implementation
- Information Filters and Their Implementation in the SYLLOG System (SM, PDS), pp. 404–407.
- ML-1989-ScottM #case study #experience #learning #nondeterminism
- Uncertainty Based Selection of Learning Experiences (PDS, SM), pp. 358–361.
- NACLP-1989-MarkovitchS #approach #automation #machine learning
- Automatic Ordering of Subgoals — A Machine Learning Approach (SM, PDS), pp. 224–240.
- ML-1988-MarkovitchS #learning
- The Role of Forgetting in Learning (SM, PDS), pp. 459–465.