Travelled to:1 × Australia
1 × China
1 × Finland
1 × France
1 × The Netherlands
3 × Canada
8 × USA
Collaborated with:V.S.Sheng R.J.Yan H.Zhang J.Du B.Gu N.Mirbakhsh S.Matwin C.Li H.Wang G.Yin E.A.Ni Y.Yu J.Su H.Zhang T.F.W.Bruckhaus N.H.Madhavji Q.Yang J.Wang S.Zhang D.W.Aha S.Lapointe T.Wang X.Li P.Zou
Talks about:learn (6) select (3) mine (3) cost (3) algorithm (2) bayesian (2) acquisit (2) softwar (2) network (2) sensit (2)
Person: Charles X. Ling
DBLP: Ling:Charles_X=
Contributed to:
2015
20142013
2013
20102008
2008200720062006200420032002200119981994Wrote 17 papers:
- ICML-2015-GuL #algorithm #fault
- A New Generalized Error Path Algorithm for Model Selection (BG, CXL), pp. 2549–2558.
- ICSME-2014-YuWYL #git #recommendation
- Reviewer Recommender of Pull-Requests in GitHub (YY, HW, GY, CXL), pp. 609–612.
- ICSM-2013-WangWYLLZ #categorisation #mining #multi #repository
- Mining Software Profile across Multiple Repositories for Hierarchical Categorization (TW, HW, GY, CXL, XL, PZ), pp. 240–249.
- RecSys-2013-MirbakhshL #clustering #collaboration
- Clustering-based factorized collaborative filtering (NM, CXL), pp. 315–318.
- CIKM-2010-DuNL #adaptation #learning
- Adapting cost-sensitive learning for reject option (JD, EAN, CXL), pp. 1865–1868.
- ICML-2008-SuZLM #learning #network #parametricity
- Discriminative parameter learning for Bayesian networks (JS, HZ, CXL, SM), pp. 1016–1023.
- KDD-2008-LingD #learning #query
- Active learning with direct query construction (CXL, JD), pp. 480–487.
- KDD-2007-ShengL #learning
- Partial example acquisition in cost-sensitive learning (VSS, CXL), pp. 638–646.
- KDD-2007-YanL #machine learning
- Machine learning for stock selection (RJY, CXL), pp. 1038–1042.
- ICML-2006-ShengL #algorithm #testing
- Feature value acquisition in testing: a sequential batch test algorithm (VSS, CXL), pp. 809–816.
- KDD-2006-LingSBM #development #mining
- Maximum profit mining and its application in software development (CXL, VSS, TFWB, NHM), pp. 929–934.
- ICML-2004-LingYWZ #low cost
- Decision trees with minimal costs (CXL, QY, JW, SZ).
- ICML-2003-LingY #ranking
- Decision Tree with Better Ranking (CXL, RJY), pp. 480–487.
- ICML-2002-ZhangL #bound #network
- Representational Upper Bounds of Bayesian Networks (HZ, CXL), pp. 674–681.
- ICML-2001-ZhangL #naive bayes
- Learnability of Augmented Naive Bayes in Nonimal Domains (HZ, CXL), pp. 617–623.
- KDD-1998-LingL #data mining #mining #problem
- Data Mining for Direct Marketing: Problems and Solutions (CXL, CL), pp. 73–79.
- ICML-1994-AhaLLM #learning #recursion #set
- Learning Recursive Relations with Randomly Selected Small Training Sets (DWA, SL, CXL, SM), pp. 12–18.