Travelled to:1 × Finland
1 × Germany
2 × Canada
2 × USA
Collaborated with:D.Page P.Tadepalli M.Craven B.Sun G.Shu A.Podgurski N.Mehta T.G.Dietterich J.Davis V.S.Costa A.Wilson A.Fern B.Rosell L.Hellerstein
Talks about:learn (4) skew (4) function (2) approach (2) multipl (2) instanc (2) improv (2) activ (2) comparison (1) hierarchi (1)
Person: Soumya Ray
DBLP: Ray:Soumya
Contributed to:
2012
20082007200520042001Wrote 9 papers:
- ICST-2012-SunSPR #cost analysis #learning #named #reliability
- CARIAL: Cost-Aware Software Reliability Improvement with Active Learning (BS, GS, AP, SR), pp. 360–369.
- ICML-2008-MehtaRTD #automation
- Automatic discovery and transfer of MAXQ hierarchies (NM, SR, PT, TGD), pp. 648–655.
- ICML-2007-DavisCRP #approach #predict #process
- An integrated approach to feature invention and model construction for drug activity prediction (JD, VSC, SR, DP), pp. 217–224.
- ICML-2007-WilsonFRT #approach #learning #multi
- Multi-task reinforcement learning: a hierarchical Bayesian approach (AW, AF, SR, PT), pp. 1015–1022.
- ICML-2005-RayC #comparison #empirical #learning #multi
- Supervised versus multiple instance learning: an empirical comparison (SR, MC), pp. 697–704.
- ICML-2005-RayP
- Generalized skewing for functions with continuous and nominal attributes (SR, DP), pp. 705–712.
- ICML-2005-RosellHRP #learning #why
- Why skewing works: learning difficult Boolean functions with greedy tree learners (BR, LH, SR, DP), pp. 728–735.
- ICML-2004-RayP #algorithm
- Sequential skewing: an improved skewing algorithm (SR, DP).
- ICML-2001-RayP #multi
- Multiple Instance Regression (SR, DP), pp. 425–432.