Increased hatching success as a direct benefit of polyandry in birds von Reding, Luke

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The early life of a leaf‐cutter ant colony constrains symbiont vertical transmission and favors horizontal transmission von Phillips, Zachary I., Reding, Luke, Farrior, Caroline E.

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Complex sexual-social environments produce high boldness and low aggression behavioral syndromes von Queller, Philip S., Shirali, Yasmin, Wallace, Kelly J., DeAngelis, Ross S., Yurt, Vural, Reding, Luke P., Cummings, Molly E.

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Increased hatching success as a direct benefit of polyandry in birds: BRIEF COMMUNICATION von Reding, Luke

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Context-dependent preferences vary by multicomponent signals in a swordtail von Reding, Luke, Cummings, Molly E.

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Does sensory expansion benefit asexual species? An olfactory discrimination test in Amazon mollies von Reding, Luke, Cummings, Molly E.

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Rational choice of social group size in mosquitofish von Reding, Luke, Cummings, Molly E

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Rational mate choice decisions vary with female age and multidimensional male signals in swordtails von Reding, Luke, Cummings, Molly E.

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The early life of a leaf-cutter colony constrains symbiont vertical transmission von Phillips, Zachary, Reding, Luke, Farrior, Caroline

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preference_data_with_outlier.csv from Rational choice of social group size in mosquitofish von Reding, Luke, Cummings, Molly

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data_raw.csv from Rational choice of social group size in mosquitofish von Reding, Luke, Cummings, Molly

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r_code.R from Rational choice of social group size in mosquitofish von Reding, Luke, Cummings, Molly

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Methods and systems for generating recommendations for contacting users through the use of a contextual multi-armed bandit framework von McCarthy, Ryan, Reding, Luke, Biscarri, William, Flynn, Christopher, Slowey, Aaron, Forsyth, Gilbert, DeVore, Charles, Jafreen, Rifat

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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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METHODS AND SYSTEMS FOR GENERATING RECOMMENDATIONS FOR CONTACTING USERS THROUGH THE USE OF A CONTEXTUAL MULTI-ARMED BANDIT FRAMEWORK von McCarthy, Ryan, Reding, Luke, Biscarri, William, Flynn, Christopher, Slowey, Aaron, Forsyth, Gilbert, DeVore, Charles, Jafreen, Rifat

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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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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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