Stephen D. Scott - researchr alias

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Viewing Publication 1 - 34 from 34

2016

2014

Yeast pheromone pathway modeling using Petri netsAbhishek Majumdar, Stephen D. Scott, Jitender S. Deogun, Steven Harris. bmcbi, 15(S-7), 2014. [doi]

2013

New algorithms for budgeted learningKun Deng, Yaling Zheng, Chris Bourke, Stephen D. Scott, Julie Masciale. ml, 90(1):59-90, 2013. [doi]

Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning ClassifiersDaniel J. Geschwender, Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry, Stephen D. Scott. AAAI 2013: 1611-1612 [doi]

2010

Active Learning from Multiple Noisy Labelers with Varied CostsYaling Zheng, Stephen D. Scott, Kun Deng. icdm 2010: 639-648 [doi]

2009

Renaissance computing: an initiative for promoting student participation in computingLeen-Kiat Soh, Ashok Samal, Stephen D. Scott, Stephen Ramsay, Etsuko Moriyama, George Meyer, Brian Moore, William G. Thomas, Duane F. Shell. sigcse 2009: 59-63 [doi]

2008

On reoptimizing multi-class classifiersChris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran. ml, 71(2-3):219-242, 2008. [doi]

Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learningQingping Tao, Stephen D. Scott. ml, 73(2):107-132, 2008. [doi]

Kernels for Generalized Multiple-Instance LearningQingping Tao, Stephen D. Scott, N. V. Vinodchandran, Thomas Takeo Osugi, Brandon Mueller. pami, 30(12):2084-2098, 2008. [doi]

2007

Bandit-Based Algorithms for Budgeted LearningKun Deng, Chris Bourke, Stephen D. Scott, Julie Sunderman, Yaling Zheng. icdm 2007: 463-468 [doi]

2006

Active Learning to Maximize Area Under the ROC CurveMatt Culver, Kun Deng, Stephen D. Scott. icdm 2006: 149-158 [doi]

2005

Balancing Exploration and Exploitation: A New Algorithm for Active Machine LearningThomas Takeo Osugi, Kun Deng, Stephen D. Scott. icdm 2005: 330-337 [doi]

New kernels for protein structural motif discovery and function classificationChang Wang, Stephen D. Scott. icml 2005: 940-947 [doi]

2004

EMPRR: a high-dimensional EM-based peicewise regression algorithmManimozhiyan Arumugam, Stephen D. Scott. icmla 2004: 264-271 [doi]

LASSO: a learning architecture for semantic web ontologiesChristopher N. Hammack, Stephen D. Scott. icmla 2004: 10-17 [doi]

Agnostic learning of general geometric patterns and multi-instance learning in R:::d:::Stephen D. Scott. icmla 2004: 192-199 [doi]

A Faster Algorithm for Generalized Multiple-Instance LearningQingping Tao, Stephen D. Scott. flairs 2004: 550-555

SVM-based generalized multiple-instance learning via approximate box countingQingping Tao, Stephen D. Scott, N. V. Vinodchandran, Thomas Takeo Osugi. icml 2004: [doi]

An Extended Kernel for Generalized Multiple-Instance LearningQingping Tao, Stephen D. Scott, N. V. Vinodchandran, Thomas Takeo Osugi, Brandon Mueller. ictai 2004: 272-277 [doi]

New Techniques for Generation and Analysis of Evolutionary TreesChang Wang, Stephen D. Scott, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev. metmbs 2004: 283-292

2003

Multiple-Instance Learning of Real-Valued Geometric PatternsSally A. Goldman, Stephen D. Scott. AMAI, 39(3):259-290, 2003.

Learning from examples with unspecified attribute valuesSally A. Goldman, Stephen Kwek, Stephen D. Scott. iandc, 180(2):82-100, 2003. [doi]

A novel fiber delay line buffering architecture for optical packet switchingLin Li, Stephen D. Scott, Jitender S. Deogun. globecom 2003: 2809-2813 [doi]

2001

On-line analysis of the TCP acknowledgment delay problemDaniel R. Dooly, Sally A. Goldman, Stephen D. Scott. JACM, 48(2):243-273, 2001. [doi]

Agnostic Learning of Geometric PatternsSally A. Goldman, Stephen Kwek, Stephen D. Scott. jcss, 62(1):123-151, 2001.

1999

A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric PatternsSally A. Goldman, Stephen D. Scott. ml, 37(1):5-49, 1999.

1998

TCP Dynamic Acknowledgment Delay: Theory and Practice (Extended Abstract)Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott. stoc 1998: 389-398 [doi]

1997

Learning from Examples with Unspecified Attribute Values (Extended Abstract)Sally A. Goldman, Stephen Kwek, Stephen D. Scott. colt 1997: 231-242 [doi]

Agnostic Learning of Geometric Patterns (Extended Abstract)Sally A. Goldman, Stephen Kwek, Stephen D. Scott. colt 1997: 325-333 [doi]

1996

PAC Learning of One-Dimensional PatternsPaul W. Goldberg, Sally A. Goldman, Stephen D. Scott. ml, 25(1):51-70, 1996.

A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric PatternsSally A. Goldman, Stephen D. Scott. icml 1996: 191-199

1995

HGA: A Hardware-Based Genetic AlgorithmStephen D. Scott, Ashok Samal, Sharad C. Seth. fpga 1995: 53-59 [doi]

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