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Discriminación
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Conducta animal
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Discrimination
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Cognición en animales
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clasificación
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AND ANALYSIS OF RESEARCH
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Academic performance
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African Americans
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An index for large areas called Area at Risk of Fire (SeR) was developed
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Análisis del discurso
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Análisis discriminante
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541por Barazeghi, Elham, Gill, Anthony J., Sidhu, Stan, Norlén, Olov, Dina, Roberto, Palazzo, F. Fausto, Hellman, Per, Stålberg, Peter, Westin, Gunnar“…CONCLUSIONS: 5hmC can discriminate between PAs and PCs. Whether 5hmC represents a novel marker for malignancy warrants further analysis in additional parathyroid tumor cohorts. …”
Publicado 2016
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542“…The effects of signal and noise on contrast discrimination are difficult to separate because of a singularity in the signal-detection-theory model of two-alternative forced-choice contrast discrimination (Katkov, Tsodyks, & Sagi, 2006). …”
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543por Poivet, Erwan, Peterlin, Zita, Tahirova, Narmin, Xu, Lu, Altomare, Clara, Paria, Anne, Zou, Dong-Jing, Firestein, Stuart“…Whereas organic chemistry would have predicted the ring size and composition to be key features, our work reveals that the topological polar surface area is the key feature for the discrimination of these odorants.…”
Publicado 2016
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544“…A key property of this approach is that the discriminative cues of a feature subset with the maximum relevant in-dependency among features can be accurately determined. …”
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545por Flint, Stuart W., Čadek, Martin, Codreanu, Sonia C., Ivić, Vanja, Zomer, Colene, Gomoiu, Amalia“…MANOVA was conducted to examine if obese candidates were discriminated against during the recruitment procedure. …”
Publicado 2016
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546“…Curvature discrimination performance was therefore best in the current study when dynamic cutaneous stimulation occurred in the absence of active movement.…”
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547por Gueorguiev, David, Bochereau, Séréna, Mouraux, André, Hayward, Vincent, Thonnard, Jean-Louis“…In a forced-choice task, we asked human participants to discriminate by touch alone glass plates from transparent polymethyl methacrylate (PMMA) plastic plates. …”
Publicado 2016
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548“…Here, we tested the effect of foveal distractors at different stimulus onset asynchronies (SOAs) on discrimination of peripheral targets. Participants performed a discrimination task on target objects presented in the periphery while fixating centrally. …”
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549por Fichtner, Jens, Ulrich, Christian T, Fung, Christian, Knüppel, Christin, Veitweber, Martina, Jilch, Astrid, Schucht, Philippe, Ertl, Michael, Schömig, Beate, Gralla, Jan, Z'Graggen, Werner J, Bernasconi, Corrado, Mattle, Heinrich P, Schlachetzki, Felix, Raabe, Andreas, Beck, JürgenEnlace del recurso
Publicado 2016
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550“…Our deep learning model achieved a discriminative accuracy of 87.3% if microcalcifications were characterized alone, compared to 85.8% with a support vector machine. …”
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551por Righetti, Laura, Rubert, Josep, Galaverna, Gianni, Folloni, Silvia, Ranieri, Roberto, Stranska-Zachariasova, Milena, Hajslova, Jana, Dall’Asta, Chiara“…Our aim was to use a non-targeted metabolomic approach to discriminate and characterize similarities and differences between ancient Triticum varieties. …”
Publicado 2016
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552“…N100, Mismatch negativity (MMN) and P3a are auditory ERP components that reflect automatic sensory discrimination. The aim of the present study was to determine if N100, MMN and P3a parameters are stable in healthy aged subjects, compared to those of normal young adults. …”
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553“…In this paper, we study the finite sample problem in the case of linear discriminant analysis under Gaussian populations. We derive exact expressions for the weight that guarantee unbiasedness of the convex bootstrap error estimator in the univariate and multivariate cases, without making asymptotic simplifications. …”
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554“…Results showed a decrease in discrimination thresholds with age, thus revealing that higher spatial frequency discrimination continues to develop after 12 years of age. …”
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555“…We propose a novel approach, named “Set-Based Discriminative Measure”, which first learns a discriminative metric space to ensure that intra-class distances are smaller than inter-class distances for ECG features in a global way, and then measures a new set-based dissimilarity in such learned space to cope with the local variation of samples. …”
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556“…The results showed that higher levels of state anxiety corresponded with a reduced discrimination between a stimulus (CS+) typically followed by an aversive event and a stimulus (CS-) that is never followed by an aversive event both during the acquisition and the extinction phase. …”
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558por Middendorf, Manuel, Ziv, Etay, Adams, Carter, Hom, Jen, Koytcheff, Robin, Levovitz, Chaya, Woods, Gregory, Chen, Linda, Wiggins, Chris“…RESULTS: We present a method to assess systematically which of a set of proposed network generation algorithms gives the most accurate description of a given biological network. To derive discriminative classifiers, we construct a mapping from the set of all graphs to a high-dimensional (in principle infinite-dimensional) "word space". …”
Publicado 2004
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559por Lindahl, Anna, Heuchel, Rainer, Forshed, Jenny, Lehtiö, Janne, Löhr, Matthias, Nordström, Anders“…METHODS: A discovery cohort comprising PDAC (n = 44) and CP (n = 23) samples was analyzed by LC-MS followed by univariate (Student’s t test) and multivariate (orthogonal partial least squares-discriminant analysis (OPLS-DA)) statistics. Discriminative metabolite features were subject to raw data examination and identification to ensure high feature quality. …”
Publicado 2017
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560“…This tool's overall accuracy of discrimination was 70%. This study aimed to prove that the discrimination reflects the behavioral difference of drivers. …”
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