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    2017-9-22 · Any number of factors could potentially negatively affect user retention, growth, and engagement, including if: * users increasingly engage with competing products; * we fail to introduce new and improved products or if we introduce new products or services that are not favorably received; 8 * we are unable to successfully balance our efforts to provide a compelling user experience …

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    2017-10-23 · Dion, Berscheid, & Walster, 1972), a large body of research has investigated how physical attractiveness influences social percep-tion and treatment. This research generally finds that people hold positive stereotypes of physically attractive people and because of those stereotypes often treat them more favorably (see Eagly,

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    2018-6-11 · Abnormal event detection in large videos is an important task in research and industrial applications, which has attracted considerable attention in recent years. Existing methods usually solve this problem by extracting local features and then learning an outlier detection model on training videos. However, most previous approaches merely employ hand-crafted visual features, which is a clear ...

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    2001-12-12 · After a large number of trees is generated, they vote for the most popular class. We call these procedures random forests. Definition 1.1 A random forest is a classifier consisting of a collection of tree-structured classifiers {h(x,Θk), k=1, ...} where the {Θk} are independent identically

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    This stands in contrast to a large body of research that attractiveness, in general, helps candidates in the selection process. For the most part good looks is a blessing. We treat pretty people more favorably in general, often vote for them more in elections, and pay them more in their professions.

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    2021-4-29 · April 29, 2021. White House. Just half of federal employees approve of President Biden’s performance through his first 100 days, according to a new survey, with 45% of …

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    2013-8-23 · that combining these randomized maps with simple linear learning algorithms competes favorably with state-of-the-art training algorithms in a variety of regression and classification scenarios. 2 Related Work The most popular methods for large-scale kernel machines are decomposition methods for solving Support Vector Machines (SVM).

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    2017-8-27 · favorably to Adaboost (Y. Freund & R. Schapire, Machine Learning: Proceedings of the Thirteenth Interna-tional conference, ∗∗∗, 148–156), but are more robust with respect to noise. Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the splitting.

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    2021-6-7 · The G-7 backed a U.S. proposal that calls for corporations around the world to pay a minimum 15% tax on profits. The reforms, if finalized, would affect the world’s largest companies with profit ...

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    2018-6-11 · Abnormal event detection in large videos is an important task in research and industrial applications, which has attracted considerable attention in recent years. Existing methods usually solve this problem by extracting local features and then learning an outlier detection model on training videos. However, most previous approaches merely employ hand-crafted visual features, which is a clear ...

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  • Sparse Coding Guided Spatiotemporal Feature

    2013-8-23 · that combining these randomized maps with simple linear learning algorithms competes favorably with state-of-the-art training algorithms in a variety of regression and classification scenarios. 2 Related Work The most popular methods for large-scale kernel machines are decomposition methods for solving Support Vector Machines (SVM).

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    2021-7-9 · Alaska Republican Sen. Lisa Murkowski’s favorability rating with her own state’s Republicans has plummeted to (the following is not a typo) six percent. Six! Her unfavorable rating with Alaska’s Republicans is a whopping 84 percent. Overall, 59 percent of Alaskans are unfavorable towards Murkowski, while only 26 percent are favorable.

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    2021-6-29 · Wu, 36, an at-large city councilor who has topped the ticket in two of the last four elections, emerged as the most popular and best-known candidate, leading the field with 23 percent.

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