Search Results - "Rifkin, Ryan"

Multiclass Cancer Diagnosis Using Tumor Gene Expression Signatures by Ramaswamy, Sridhar, Tamayo, Pablo, Rifkin, Ryan, Mukherjee, Sayan, Yeang, Chen-Hsiang, Angelo, Michael, Ladd, Christine, Reich, Michael, Latulippe, Eva, Mesirov, Jill P., Poggio, Tomaso, Gerald, William, Loda, Massimo, Lander, Eric S., Golub, Todd R.

“…The optimal treatment of patients with cancer depends on establishing accurate diagnoses by using a complex combination of clinical and histopathological data…”
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Molecular classification of multiple tumor types by Yeang, Chen-Hsiang, Ramaswamy, Sridhar, Tamayo, Pablo, Mukherjee, Sayan, Rifkin, Ryan M., Angelo, Michael, Reich, Michael, Lander, Eric, Mesirov, Jill, Golub, Todd

“…Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be…”
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Estimating dataset size requirements for classifying DNA microarray data by Mukherjee, Sayan, Tamayo, Pablo, Rogers, Simon, Rifkin, Ryan, Engle, Anna, Campbell, Colin, Golub, Todd R, Mesirov, Jill P

“…A statistical methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use…”
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Speaker recognition using local models by Rifkin, Ryan

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Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization by Mukherjee, Sayan, Niyogi, Partha, Poggio, Tomaso, Rifkin, Ryan

“…Solutions of learning problems by Empirical Risk Minimization (ERM) - and almost-ERM when the minimizer does not exist - need to be consistent, so that they…”
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General conditions for predictivity in learning theory by Poggio, Tomaso, Rifkin, Ryan, Mukherjee, Sayan, Niyogi, Partha

“…Developing theoretical foundations for learning is a key step towards understanding intelligence. 'Learning from examples' is a paradigm in which systems…”
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Bayesian estimation of transcript levels using a general model of array measurement noise by Dror, Ron O, Murnick, Jonathan G, Rinaldi, Nicola J, Marinescu, Voichita D, Rifkin, Ryan M, Young, Richard A

“…Gene arrays demonstrate a promising ability to characterize expression levels across the entire genome but suffer from significant levels of measurement noise…”
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Prediction of central nervous system embryonal tumour outcome based on gene expression by Pomeroy, Scott L, Golub, Todd R, Tamayo, Pablo, Gaasenbeek, Michelle, Sturla, Lisa M, Angelo, Michael, McLaughlin, Margaret E, Kim, John Y. H, Goumnerova, Liliana C, Black, Peter M, Lau, Ching, Allen, Jeffrey C, Zagzag, David, Olson, James M, Curran, Tom, Wetmore, Cynthia, Biegel, Jaclyn A, Poggio, Tomaso, Mukherjee, Shayan, Rifkin, Ryan, Califano, Andrea, Stolovitzky, Gustavo, Louis, David N, Mesirov, Jill P, Lander, Eric S

“…Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis,…”
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A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem by Ball, Michael O, Hoffman, Robert, Odoni, Amedeo R, Rifkin, Ryan

“…In this paper, we analyze a generalization of a classic network-flow model. The generalization involves the replacement of deterministic demand with stochastic…”
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General conditions for predicitivity in leaming theory by POGGLO, Tomaso, RIFKIN, Ryan, MUKHERJEE, Sayan, NIYOGI, Partha

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An Analytical Method for Multiclass Molecular Cancer Classification by Rifkin, Ryan, Mukherjee, Sayan, Tamayo, Pablo, Ramaswamy, Sridhar, Yeang, Chen-Hsiang, Angelo, Michael, Reich, Michael, Poggio, Tomaso, Lander, Eric S., Golub, Todd R., Mesirov, Jill P.

“…Modern cancer treatment relies upon microscopic tissue examination to classify tumors according to anatomical site of origin. This approach is effective but…”
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Using the Fisher kernel method for Web audio classification by Moreno, P.J., Rifkin, R.

“…As the multimedia content of the Web increases techniques to automatically classify this content become more important. We present a system to classify audio…”
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Musical query-by-description as a multiclass learning problem by Whitman, B., Rifkin, R.

“…We present the query-by-description (QBD) component of "Kandem", a time-aware music retrieval system. The QBD system we describe learns a relation between…”
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