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Philip M Long

Showing results (1-10 of 11) with videos related to

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Neural Computation|October 16, 2019
On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep NetworkPhilip M Long, Hanie Sedghi
Neural Computation|May 9, 2022
The Perils of Being Unhinged: On the Accuracy of Classifiers Minimizing a Noise-Robust Convex LossPhilip M Long, Rocco A Servedio
Neural Computation|January 16, 2019
Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual NetworksPeter L Bartlett, David P Helmbold, Philip M Long
Proceedings of the National Academy of Sciences of the United States of America|April 26, 2020
Benign overfitting in linear regressionPeter L Bartlett, Philip M Long, Gábor Lugosi, et al.
Cancer Cell|November 27, 2002
Optimal gene expression analysis by microarraysLance D Miller, Philip M Long, Limsoon Wong, et al.
Hepatology (Baltimore, Md.)|April 2, 2004
Identification of discriminators of hepatoma by gene expression profiling using a minimal dataset approachSoek Ying Neo, Chon Kar Leow, Vinsensius B Vega, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 15, 2003
Breast cancer classification and prognosis based on gene expression profiles from a population-based studyChristos Sotiriou, Soek-Ying Neo, Lisa M McShane, et al.
Science (New York, N.Y.)|October 18, 2003
Comment on " 'Stemness': transcriptional profiling of embryonic and adult stem cells" and "a stem cell molecular signature"Nicolas O Fortunel, Hasan H Otu, Huck-Hui Ng, et al.
BMC Infectious Diseases|September 7, 2004
Mutational dynamics of the SARS coronavirus in cell culture and human populations isolated in 2003Vinsensius B Vega, Yijun Ruan, Jianjun Liu, et al.
Hepatology (Baltimore, Md.)|September 22, 2005
Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profilingSuk Woo Nam, Jik Young Park, Adaikalavan Ramasamy, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neural Computation|October 16, 2019
On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep NetworkPhilip M Long, Hanie Sedghi
Neural Computation|May 9, 2022
The Perils of Being Unhinged: On the Accuracy of Classifiers Minimizing a Noise-Robust Convex LossPhilip M Long, Rocco A Servedio
Neural Computation|January 16, 2019
Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual NetworksPeter L Bartlett, David P Helmbold, Philip M Long
Proceedings of the National Academy of Sciences of the United States of America|April 26, 2020
Benign overfitting in linear regressionPeter L Bartlett, Philip M Long, Gábor Lugosi, et al.
Cancer Cell|November 27, 2002
Optimal gene expression analysis by microarraysLance D Miller, Philip M Long, Limsoon Wong, et al.
Hepatology (Baltimore, Md.)|April 2, 2004
Identification of discriminators of hepatoma by gene expression profiling using a minimal dataset approachSoek Ying Neo, Chon Kar Leow, Vinsensius B Vega, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 15, 2003
Breast cancer classification and prognosis based on gene expression profiles from a population-based studyChristos Sotiriou, Soek-Ying Neo, Lisa M McShane, et al.
Science (New York, N.Y.)|October 18, 2003
Comment on " 'Stemness': transcriptional profiling of embryonic and adult stem cells" and "a stem cell molecular signature"Nicolas O Fortunel, Hasan H Otu, Huck-Hui Ng, et al.
BMC Infectious Diseases|September 7, 2004
Mutational dynamics of the SARS coronavirus in cell culture and human populations isolated in 2003Vinsensius B Vega, Yijun Ruan, Jianjun Liu, et al.
Hepatology (Baltimore, Md.)|September 22, 2005
Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profilingSuk Woo Nam, Jik Young Park, Adaikalavan Ramasamy, et al.
Pageof 2