Epstein Files Search

EFTA00885903Set 9

2009-10-106p1,980w

mine). >> For instance, the face recognizer we built for the Brazilian >> government uses Support Vector Machines (SVMs) for the machine >> learning component (together with some hand-tuned feature extractors). >> That

https://www.justice.gov/epstein/files/DataSet%209/EFTA00885903.pdf

EFTA00771217Set 9

2009-10-106p2,030w

mine). >> For instance, the face recognizer we built for the Brazilian >> government uses Support Vector Machines (SVMs) for the machine >> learning component (together with some hand-tuned feature extractors). >> That

https://www.justice.gov/epstein/files/DataSet%209/EFTA00771217.pdf

EFTA00740502Set 9

2009-10-106p1,986w

mine). >> For instance, the face recognizer we built for the Brazilian >> government uses Support Vector Machines (SVMs) for the machine >> learning component (together with some hand-tuned feature extractors). >> That

https://www.justice.gov/epstein/files/DataSet%209/EFTA00740502.pdf

EFTA00771223Set 9

2009-10-105p1,873w

mine). For instance, the face recognizer we built for the Brazilian government uses Support Vector Machines (SVMs) for the machine learning component (together with some hand-tuned feature extractors). That

https://www.justice.gov/epstein/files/DataSet%209/EFTA00771223.pdf

EFTA00771228Set 9

2009-10-103p1,244w

EFTA00771228 For instance, the face recognizer we built for the Brazilian government uses Support Vector Machines (SVMs) for the machine learning component (together with some hand-tuned feature extractors). That

https://www.justice.gov/epstein/files/DataSet%209/EFTA00771228.pdf

EFTA02706722Set 11

3p1,277w

Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Igarkov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH and Granger causality, GARCH models, ARIMA

https://www.justice.gov/epstein/files/DataSet%2011/EFTA02706722.pdf

EFTA00611837Set 9

4p1,265w

Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH and Granger causality, GARCH models, ARIMA

https://www.justice.gov/epstein/files/DataSet%209/EFTA00611837.pdf

EFTA00583284Set 9

4p1,262w

Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH and Granger causality, GARCH models, ARIMA

https://www.justice.gov/epstein/files/DataSet%209/EFTA00583284.pdf

EFTA01116865Set 9

4p1,262w

Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH and Granger causality, GARCH models, ARIMA

https://www.justice.gov/epstein/files/DataSet%209/EFTA01116865.pdf

EFTA00993394Set 9

2017-10-112p582w

almost always find a linear separation. This is also related to how Support Vector Machines work: they project the data into an extremely high-dimensional space, find a separating hyperplane

https://www.justice.gov/epstein/files/DataSet%209/EFTA00993394.pdf

EFTA00993221Set 9

2017-10-112p569w

almost always find a linear separation. This is also related to how Support Vector Machines work: they project the data into an extremely high-dimensional space, find a separating hyperplane

https://www.justice.gov/epstein/files/DataSet%209/EFTA00993221.pdf

EFTA00715468Set 9

2017-10-111p460w

almost always find a linear separation. This is also related to how Support Vector Machines work: they project the data into an extremely high-dimensional space, find a separating hyperplane

https://www.justice.gov/epstein/files/DataSet%209/EFTA00715468.pdf