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Using machine learning to understand age and gender classification based on infant temperament.

Using machine learning to understand age and gender classification based on infant temperament.

av Maria A Gartstein, D Erich Seamon, Jennifer A Mattera, Michelle Bosquet Enlow, Rosalind J Wright, Koraly Perez-Edgar, Kristin A Buss, Vanessa LoBue, Martha Ann Bell, Sherryl H Goodman, Susan Spieker, David J Bridgett, Amy L Salisbury, Megan R Gunnar, Shanna B Mliner, Maria Muzik, Cynthia A Stifter, Elizabeth M Planalp, Samuel A Mehr, Elizabeth S Spelke, Angela F Lukowski, Ashley M Groh, Diane M Lickenbrock, Rebecca Santelli, Tina Du Rocher Schudlich, Stephanie Anzman-Frasca, Catherine Thrasher, Anjolii Diaz, Carolyn Dayton, Kameron J Moding, Evan M Jordan
Publicerad 2022-01-01

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Using machine learning to understand age and gender classification based on infant temperament

Using machine learning to understand age and gender classification based on infant temperament

av Maria A. Gartstein, D. Erich Seamon, Jennifer A. Mattera, Michelle Bosquet Enlow, Rosalind J. Wright, Koraly Perez-Edgar, Kristin A. Buss, Vanessa LoBue, Martha Ann Bell, Sherryl H. Goodman, Susan Spieker, David J. Bridgett, Amy L. Salisbury, Megan R. Gunnar, Shanna B. Mliner, Maria Muzik, Cynthia A. Stifter, Elizabeth M. Planalp, Samuel A. Mehr, Elizabeth S. Spelke, Angela F. Lukowski, Ashley M. Groh, Diane M. Lickenbrock, Rebecca Santelli, Tina Du Rocher Schudlich, Stephanie Anzman-Frasca, Catherine Thrasher, Anjolii Diaz, Carolyn Dayton, Kameron J. Moding, Evan M. Jordan
Publicerad 2022-01-01

Hämta fulltext

Artigo