Hierarchical models for estimating density from DNA mark-recapture studies von Gardner, Beth, Royle, J. Andrew, Wegan, Michael T

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Estimating Black Bear Density Using DNA Data From Hair Snares von GARDNER, BETH, ROYLE, J. ANDREW, WEGAN, MICHAEL T., RAINBOLT, RAYMOND E., CURTIS, PAUL D.

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Temporal sampling frame selection in DNA-based capture–mark–recapture investigations von Wegan, Michael T, Curtis, Paul D, Rainbolt, Raymond E, Gardner, Beth

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A cable neck-restraint to live-capture coyotes von Wegan, Michael T., Etter, Dwayne R., Belant, Jerrold L., Beyer Jr, Dean E., Svoboda, Nathan J., Petroelje, Tyler R.

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MACHINE-LEARNING MODELS TO LEVERAGE BEHAVIOR-DEPENDENT PROCESSES von Prakash, Arun, Klose, Gregory, Kraemer, Andrew, Briancon, Alain, Wegan, Michael, Silberman, Gabriel M, Harper, Lee

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Machine-learning models to leverage behavior-dependent processes von Prakash, Arun, Klose, Gregory, Kraemer, Andrew, Briançon, Alain, Wegan, Michael, Silberman, Gabriel M, Harper, Lee

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Privacy and proprietary-information preserving collaborative multi-party machine learning von Reding, Luke Philip, Belanger, Jean Joseph, Briancon, Alain Charles, Wegan, Michael Thomas, Silberman, Gabriel Mauricio, Curry, David Alexander, Prasad, Thejas Narayana, Harper, Lee David

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COLLABORATIVE MULTI-PARTIES/MULTI-SOURCES MACHINE LEARNING FOR AFFINITY ASSESSMENT, PERFORMANCE SCORING, AND RECOMMENDATION MAKING von Reding, Luke Philip, Belanger, Jean Joseph, Briancon, Alain Charles, Wegan, Michael Thomas, Silberman, Gabriel Mauricio, Curry, David Alexander, Prasad, Thejas Narayana, Harper, Lee David

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PRIVACY & PROPRIETARY-INFORMATION PRESERVING COLLABORATIVE MULTI-PARTY MACHINE LEARNING von Reding, Luke Philip, Belanger, Jean Joseph, Briancon, Alain Charles, Wegan, Michael Thomas, Silberman, Gabriel Mauricio, Curry, David Alexander, Prasad, Thejas Narayana, Harper, Lee David

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Collaborative multi-parties/multi-sources machine learning for affinity assessment, performance scoring, and recommendation making von Reding, Luke Philip, Belanger, Jean Joseph, Briancon, Alain Charles, Wegan, Michael Thomas, Silberman, Gabriel Mauricio, Curry, David Alexander, Prasad, Thejas Narayana, Harper, Lee David

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Privacy and proprietary-information preserving collaborative multi-party machine learning von Reding, Luke Philip, Belanger, Jean Joseph, Briancon, Alain Charles, Wegan, Michael Thomas, Silberman, Gabriel Mauricio, Curry, David Alexander, Prasad, Thejas Narayana, Harper, Lee David

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MULTI-STAGE MACHINE-LEARNING MODELS TO CONTROL PATH-DEPENDENT PROCESSES von PRAKASH, Arun, KRAEMER, Andrew, HARPER, Lee, SILBERMAN, Gabriel M, BRIANÇON, Alain, KLOSE, Gregory, WEGAN, Michael

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MULTI-STAGE MACHINE-LEARNING MODELS TO CONTROL PATH-DEPENDENT PROCESSES von Prakash, Arun, Klose, Gregory, Kraemer, Andrew, Briançon, Alain, Wegan, Michael, Silberman, Gabriel M, Harper, Lee

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Multi-stage machine-learning models to control path-dependent processes von Prakash, Arun, Klose, Gregory, Kraemer, Andrew, Briançon, Alain, Wegan, Michael, Silberman, Gabriel M, Harper, Lee

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COLLABORATIVE MULTI-PARTIES/MULTI-SOURCES MACHINE LEARNING FOR AFFINITY ASSESSMENT, PERFORMANCE SCORING, AND RECOMMENDATION MAKING von Reding, Luke Philip, Belanger, Jean Joseph, Briancon, Alain Charles, Wegan, Michael Thomas, Silberman, Gabriel Mauricio, Curry, David Alexander, Prasad, Thejas Narayana, Harper, Lee David

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PRIVACY & PROPRIETARY-INFORMATION PRESERVING COLLABORATIVE MULTI-PARTY MACHINE LEARNING von Reding, Luke Philip, Belanger, Jean Joseph, Briancon, Alain Charles, Wegan, Michael Thomas, Silberman, Gabriel Mauricio, Curry, David Alexander, Prasad, Thejas Narayana, Harper, Lee David

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