Searching for authors named "Sayan Mukherjee" – sorted by Relevance.
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Chapter 9. Classifying microarray data using support vector machines
- Chapter 9 CLASSIFYING MICROARRAY DATA USING SUPPORT VECTOR MACHINES Sayan Mukherjee Post
- Cited by 1 (0 self) – Add To MetaCart
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Multivariate Density Estimation: a Support Vector Machine Approach
- 1999 C.B.C.L Paper No. 170 Multivariate Density Estimation: a Support Vector Machine Approach Sayan
- Cited by 2 (1 self) – Add To MetaCart
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Bounds on Sample Size for Policy Evaluation in Markov Environments
- Bounds on sample size for policy evaluation in Markov environments Leonid Peshkin and Sayan
- Cited by 10 (2 self) – Add To MetaCart
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Selecting Relevant Genes with a Spectral Approach
- † , and Sayan Mukherjee ‡a a Center for Biological and Computational Learning McGovern Institute for Brain
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c ○ World Scientific Publishing Company STABILITY RESULTS IN LEARNING THEORY
- Massachusetts Institute of Technology 45 Carleton St. E25-201, Cambridge, MA 02139, USA rakhlin@(email omitted); SAYAN
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Institute for Genome Sciences and Policy, Duke University,
- Permutation Tests for Classification Polina Golland 1 , Feng Liang 2 , Sayan Mukherjee 2
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Application of Statistical Learning Theory to DNA Microarray Analysis
- Application of Statistical Learning Theory to DNA Microarray Analysis by Sayan Mukherjee B
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Regression and Classification with Regularization
- This is page 107 Printer: Opaque this 6 Regression and Classication with Regularization Sayan
- Cited by 6 (3 self) – Add To MetaCart
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Permutation Tests for Classification
- AI Memo AIM-2003-019 Permutation Tests for Classification Sayan Mukherjee sayan@(email omitted); Whitehead
- Cited by 4 (2 self) – Add To MetaCart
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Bagging regularizes
- Regularizes Tomaso Poggio, Ryan Rifkin, Sayan Mukherjee and Alex Rakhlin AI Memo 2002-003 March 2002 CBCL Memo
- Cited by 7 (1 self) – Add To MetaCart

