Stephen D. Scott

Publication Activity (10 Years)

Years Active: 1995-2022
Publications (10 Years): 5

Top Topics

Nearest Neighbor Algorithm

Intermediate Concepts

Top Venues

Publications

Yuji Mo, Stephen D. Scott
Bayesian Deep Structured Semantic Model for Sub-Linear-Time Information Retrieval. ICDM (2022)
Zhongyuan Zhao, Mehmet Can Vuran, Fujuan Guo, Stephen D. Scott
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks. IEEE J. Sel. Areas Commun. 39 (8) (2021)
Paul Quint, Stephen D. Scott, N. V. Vinodchandran, Bradley Worley
Constrained Group Testing to Predict Binding Response of Candidate Compounds. SDM (2016)
Yuji Mo, Stephen D. Scott, Doug Downey
Learning Hierarchically Decomposable Concepts with Active Over-Labeling. ICDM (2016)
Aduri Pavan, Paul Quint, Stephen D. Scott, N. V. Vinodchandran, J. Smith
Computing triangle and open-wedge heavy-hitters in large networks. IEEE BigData (2016)
Abhishek Majumdar, Stephen D. Scott, Jitender S. Deogun, Steven Harris
Yeast pheromone pathway modeling using Petri nets. BMC Bioinform. 15 (S-7) (2014)
Daniel J. Geschwender, Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry, Stephen D. Scott
Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning Classifiers. AAAI (2013)
Leen-Kiat Soh, Ashok Samal, Stephen D. Scott, Stephen Ramsay, Etsuko Moriyama, George Meyer, Brian Moore, William G. Thomas, Duane F. Shell
Renaissance computing: an initiative for promoting student participation in computing. SIGCSE (2009)
Qingping Tao, Stephen D. Scott, N. V. Vinodchandran, Thomas Takeo Osugi, Brandon Mueller
Kernels for Generalized Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 30 (12) (2008)
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran
On reoptimizing multi-class classifiers. Mach. Learn. 71 (2-3) (2008)
Qingping Tao, Stephen D. Scott
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning. Mach. Learn. 73 (2) (2008)
Chang Wang, Stephen D. Scott
New kernels for protein structural motif discovery and function classification. ICML (2005)
Manimozhiyan Arumugam, Stephen D. Scott
EMPRR: a high-dimensional EM-based peicewise regression algorithm. ICMLA (2004)
Qingping Tao, Stephen D. Scott
A Faster Algorithm for Generalized Multiple-Instance Learning. FLAIRS Conference (2004)
Stephen D. Scott
. ICMLA (2004)
Christopher N. Hammack, Stephen D. Scott
LASSO: a learning architecture for semantic web ontologies. ICMLA (2004)
Chang Wang, Stephen D. Scott, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev
New Techniques for Generation and Analysis of Evolutionary Trees. METMBS (2004)
Lin Li, Stephen D. Scott, Jitender S. Deogun
A novel fiber delay line buffering architecture for optical packet switching. GLOBECOM (2003)
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
Learning from examples with unspecified attribute values. Inf. Comput. 180 (2) (2003)
Sally A. Goldman, Stephen D. Scott
Multiple-Instance Learning of Real-Valued Geometric Patterns. Ann. Math. Artif. Intell. 39 (3) (2003)
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
Agnostic Learning of Geometric Patterns. J. Comput. Syst. Sci. 62 (1) (2001)
Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott
On-line analysis of the TCP acknowledgment delay problem. J. ACM 48 (2) (2001)
Sally A. Goldman, Stephen D. Scott
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns. Mach. Learn. 37 (1) (1999)
Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott
TCP Dynamic Acknowledgment Delay: Theory and Practice (Extended Abstract). STOC (1998)
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
Agnostic Learning of Geometric Patterns (Extended Abstract). COLT (1997)
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
Learning from Examples with Unspecified Attribute Values (Extended Abstract). COLT (1997)
Paul W. Goldberg, Sally A. Goldman, Stephen D. Scott
PAC Learning of One-Dimensional Patterns. Mach. Learn. 25 (1) (1996)
Sally A. Goldman, Stephen D. Scott
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns. ICML (1996)
Stephen D. Scott, Ashok Samal, Sharad C. Seth
HGA: A Hardware-Based Genetic Algorithm. FPGA (1995)